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Avatar of Yen-Ting Liu.
Avatar of Yen-Ting Liu.
Data Engineer @Tesla
2023 ~ 2023
Data engineer / Data anyayst
Within two months
data that included geo-location data from BigQuery and deployed it on the GCP environment. The API saved 80% of the time on fetching data (Cloud Run, IAM, BigQuery) 十月七月 2021 Data engineer • 富盈數據 Maintained distributed system and database • Constructed and managed the Hadoop ecosystem with Ambari. Built ETL pipeline to query multi-source database which processing more than three terabytes (TB) provided 90% of the analysis needs (Hive, HBase, Python, ELK, MySQL) • Established data collection and analysis workflow, saving Data scientists’ 30% of the time to analyze and build machine learning
python
Linux
R
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
University of Texas at Dallas
Information Technology and Management
Avatar of Chin-Hung (Wilson) Liu.
Avatar of Chin-Hung (Wilson) Liu.
Principal Engineer, Data Engineering @KKCompany
2023 ~ Present
Backend Engineer, Data Engineer, MLOps Engineer
Within one month
Chin-Hung (Wilson) Liu I am a lead architect responsible for designing and implementing a large-scale data pipeline for Lomotif, Paktor x 17LIVE, utilizing GCP/AWS/Python/Scala, in collaboration with data science and machine learning teams in Singapore and TW HQ, as well as with the Hadoop ecosystem (HDFS/HBase/Kafka) at JSpectrum in Hong Kong and Sydney. With over 15 years of experience in designing and developing Java/Scala/Python-based applications for daily operations, I bring: ● At least 8 years of experience in data analysis, pipeline design
Big Data
Data Engineering
ETL
Employed
Open to opportunities
Full-time / Interested in working remotely
10-15 years
National Taiwan University
EMBA Programs, Business Administration, Accounting, Finance and International Business.
Avatar of 陳柄宏.
Avatar of 陳柄宏.
Staff Cloud Architect Enginner @域動行銷股份有限公司
2023 ~ Present
雲端工程師,雲端架構師,數據架構師
Within one month
及進步的團隊。 [email protected], Taiwan Education 輔仁大學圖書資訊學系,Skills Python 程式寫作、實作爬蟲及資料清理作業。 Database SQL : PostgreSQL, MySQL, MSSQL NoSQL: MongoDB, Redis, DynamoDB, Hadoop Docker 容器化技術 Data Lakehouse Databricks Azure 持有Microsoft Certified: Azure Solutions Architect Expert 及 Data enginner 證照 AWS 持有 AWS Certified Solutions Architect – Professional 證照 工作經歷 Staff Cloud Architect Enginner , 域動行銷股份有限
git
hadoop ecosystem
MongoDB
Employed
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
輔仁大學
圖書資訊
Avatar of the user.
Avatar of the user.
Team Lead / Sr. Data Engineer @新加坡商競舞電競娛樂有限公司 Garena Online Private Ltd
2021 ~ Present
資料工程師
Within one month
Hadoop
Spark
SQL
Employed
Full-time / Interested in working remotely
6-10 years
Avatar of Carter Lin.
Avatar of Carter Lin.
Senior Data Engineer @美光科技
2021 ~ Present
Software Engineer / Backend Engineer / DevOps Engineer
Within six months
CD pipelines from scratch which follow GitOps flow and deploying service to GKE cluster using Helm . Familiar with GCP service , IAM, GCS, Big Query, Cloud Function, Pub/Sub, Cloud Scheduler Data Engineer Micron OctOct 2021 Taichung, Taiwan Developed and maintained ETL processes using Python to transfer data into Hadoop Ecosystem, including HBase and Hive, for efficient data storage and retrieval. Proficient in SQL for data manipulation and query optimization. Collaborated with cross-functional teams to design and implement data pipelines, ensuring data integrity and accuracy. Streamlined data processing workflows, resulting in significant time and resource
Python
Google cloud platform
Helm
Employed
Full-time / Remote Only
4-6 years
National Chiao Tung University
資訊管理學系
Avatar of Aiden Wu.
Avatar of Aiden Wu.
Senior Data Engineer @Garena
2021 ~ Present
Data engineer
Within one year
Aiden Wu Data Engineer / Machine Learning Engineer Taipei, Taiwan • Enthusiastic software developer: focus on distributed systems, especially Hadoop ecosystem • Experience in data engineering: develop batch and real-time data pipelines with an average of TBs per month via Spark and Airflow • Experience in machine learning: develop machine learning (ML) and deep learning (DL) models while providing services on RESTful API https://www.slideshare.net/ssuserf88631/presentations 工作經歷 Senior Data Engineer • Garena 八月Present • Build and manage self-distributed systems (e.g., Hadoop, Spark, and Kafka Cluster) • Design
Python
Spark
Machine Learning
Employed
Full-time / Interested in working remotely
4-6 years
National Cheng Kung University
Department of Electrical Engineering
Avatar of 陳慶全.
Avatar of 陳慶全.
Senior Data Engineer @Microsoft
2021 ~ Present
資料科學家、資料工程師、資料分析師
Within one month
Ching-Chuan Chen 陳慶全 資料科學家、資料工程師、資料分析師 • City, TW • [email protected] Data engineer and data scientist with over four half years of experience. Proven success in processing big volume of data (6TB per day) in Spark in Scala and MPI in R and Python, developing a machine learning model with Spark in Scala on 30 billions of records for IoT device recognition and developing algorithms to classify unlabeled network behaviors of customers to protect their devices from compromising. Skilled in programming
R
Python
C++
Employed
Full-time / Interested in working remotely
4-6 years
National Cheng Kung University,
Statistics
Avatar of the user.
Within one year
Python
Bigdata
Docker
Employed
Full-time / Interested in working remotely
10-15 years
Avatar of the user.
Avatar of the user.
Jr. Programmer @德義資訊股份有限公司
2013 ~ 2015
Developer Team Leader, Architect, FullStack Developer
More than one year
Word
PowerPoint
Excel
Employed
Full-time / Interested in working remotely
6-10 years
National Taiwan University
Bachelor of Bio-Industrial Mechatronics Engineering
Avatar of Mallikarjunareddy Guruguntla.
Offline
Big data developer
More than one year
ZOOKEEPER. Summary Excellent understanding /knowledge on HADOOP(Gen-1 and Gen-2) and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node, Resource Manager (YARN), Node Manager and Aplication Master. Expert in understanding the data and designing/implementing the enterprise platforms like Hadoop data lake and huge Data warehouses. Have over 2 years of experience as Hadoop Architect with very good exposure on Hadoop Technologies like HDFS, YARN, MapReduce, Sqoop, Flume, HBase, Hive, Presto, Oozie and Spark. Good understanding of NoSQL databases and hands on working experience in writing applications
hadoop ecosystem
Python
Scala
Full-time / Interested in working remotely
6-10 years
JNTUH
Computer science

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hadoop ecosystem
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Mallikarjuna Reddy G

6+ years of IT experience in Architecture, Analysis, design, development, implementation, maintenance and support with experience in developing strategic methods for deploying big data technologies to efficiently solve Big Data processing requirement.
 Around 3+ years of experience on BIG DATA using HADOOP framework and related technologies such as HDFS, HBASE, MAPREDUCE, SPARK, HIVE, PIG, FLUME, OOZIE, SQOOP and ZOOKEEPER.

Summary

Excellent understanding /knowledge on HADOOP(Gen-1 and Gen-2) and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node, Resource Manager (YARN), Node Manager and Aplication Master. 

Expert in understanding the data and designing/implementing the enterprise platforms like Hadoop data lake and huge Data warehouses.

Have over 2 years of experience as Hadoop Architect with very good exposure on Hadoop Technologies like HDFS, YARN, MapReduce, Sqoop, Flume, HBase, Hive, Presto, Oozie and Spark.

Good understanding of NoSQL databases and hands on working experience in writing applications on NoSQL 
databases like HBase, Cassandra and MongoDB.
Knowledge on HADOOP security services like RANGER and KNOX configured over HDP cluster and have sufficient experience on Application Server TOMCAT and Web Server APACHE.

Played a vital role in Launching spark on Yarn and pretty good knowledge on spark configuration and monitoring Scheduled jobs.
Developed couple of spark applications with the help of PySpark, SPARK SQL and DATA FRAME API Not only SPARK SQL but also great hands of expertise on SPARK STREAMING.
Worked on Spark Jobs In-order to do Tuning and Optimizing an end to end BENCHMARK which includes setting up different Conf and LEVERAGING Spark SPECULATION to Identify and Re-Schedule Slow Running Tasks.
Developed analytical components using PySpark, SCALA, SPARK, STORM and SPARK STREAM. 
Worked extensively with DIMENSIONAL MODELING, DATA MIGRATION, DATA CLEANSING, DATA PROFILING, and ETL PROCESS features for data warehouses. 
Used UNIX/Linux shell scripting to automate system administration tasks, system backup/restore management and user account management.
Worked on data load from various sources i.e., Oracle, My-SQL, DB2, My-SQL SERVER to CASSANDRA, MONGO DB, HADOOP using SQOOP and PYTHON SCRIPT. 
Knowledge in creating the TABLEAU dashboards with relational and multi-dimensional databases including Oracle, MYSQL and HIVE, gathering and manipulating data from various sources. 
Having experience in Mark-Logic architecture and design, in performance tuning, dashboards and TABLEAU reports. 

Skills


Technology

Hadoop Ecosystem/J2SE/J2EE/JDK1.7, 1.8/ Database


Opersting Systems

Windows Vista/XP/NT/2000/ LINUX (Ubuntu, Cent OS), UNIX.


DBMS/Databases

ORACLE, My SQL, POSTGRE.


Programming Languages

Core Java, Python, Scala, Struts, Spring, Java Script


Big Data Ecosystem

HDFS, Map Reducing, Oozie, Hive, Pig, Sqoop, Flume, splunk, Scala, Spark, Zookeeper, Kafka and HBASE.


Methodologies

Agile scrum, Waterfall.


NoSql Databases

HBase, CASSANDRA, MONGODB


Experience

Reliance Techservices, Oct 2015 - Present

SR HADOOP/SPARK DEVELOPER
Responsibilities:

  • Understanding the data nature from different sources and designing the injection processes for HDFS
  • Developed Spark scripts by using PySpark shell commands as per the requirement.
  • Developed pig scripts to transform the data into structured format and automated through Oozie coordinators.
  • Collected data using SPARK STREAMING from Source in near-real-time and performs necessary Transformations and Aggregation on the fly to build the common learner data model and persists the data in HDFS.
  • Explored the usage of SPARK for improving the performance and optimization of the existing algorithms in HADOOP using SPARK CONTRXT, SPARK SQL and SPARK YARN.
  • Worked with SPARK STREAMING to ingest data into Spark Engine. 
  • Developed Spark Code using PySpark and SPARK-SQL/STREAMING for faster testing and processing of data.
  • Involved in converting Hive/SQL queries into Spark Transformations using SPARK RDDs and SCALA.
  • Worked on the SPARK SQL and Spark Streaming modules of SPARK and used Scala and PySpark to write code for all Spark use cases.
  • Extensive experience in using THE MOM WITH ACTIVE MQ, APACHE STORM, APACHE SPARK & KAFKA MAVEN AND ZOOKEEPER. 

Accenture,  July 2013 - Sep 2015

JAVA/HADOOP DEVELOPER
CLIENT: Mc Donalds
Responsibilities:

  • Worked extensively in creating MAPREDUCE jobs to power data for search and aggregation. Designed a data warehouse using HIVE.
  • Importing and exporting data into HDFS and HIVE using SQOOP.
  • Used Bash Shell Scripting, SQOOP, AVRO, Hive, Pig, Java, Map Reduce daily to develop ETL, batch processing, and data storage functionality.
  • Used PIG to do data transformations, event joins and some PRE-AGGREGATIONS before storing the data on the HDFS.
  • Exploited HADOOP MYSQL-Connector to store Map Reduce results in RDBMS.
  • Analyzed large amounts of data sets to determine optimal way to aggregate and report on it.
  • Worked on loading all tables from the reference source database schema through SQOOP. 
  •  Worked on designed, coded and configured server side J2EE components like JSP, AWS and JAVA.
  • Collected data from different databases (i.e. Oracle, MYSQL) to HADOOP.
  • Used OOZIE and Z00KEEPER for workflow scheduling and monitoring.
  • Worked on Designing and Developing ETL Workflows using Java for processing data in HDFS/HBASE using OOZIE.
  • Experienced in managing and reviewing HADOOP log files.
  • Involved in loading and transforming large sets of structured, semi structured and unstructured data from relational databases into HDFS using SQOOP imports.
  • Working on extracting files from MYSQL through SQOOP and placed in HDFS and processed.
  • Supported Map Reduce Programs those running on the cluster.
  • Cluster coordination services through ZOOKEEPER.
  • Involved in loading data from UNIX file system to HDFS.
  • Created several Hive tables, loaded with data and wrote Hive Queries in order to run internally in Map Reduce.
  • Developed Simple to complex Map Reduce Jobs using HIVE and PIG.
  • Involved in Analyzing system failures, identifying root causes, and recommended course of actions.
  • Used MAPREDUCE to process the large data sets over a cluster of computers using parallel processing. 
Environment: Apache Hadoop, MapReduce, Hdfs, Hive, Java, Sql, Pig, Flume, Zookeeper, Java (Jdk1.6), Flat Files, Oracle 11g/10g, MySql, Windows NT, Unix, Sqoop, Hive, Oozie, HBase.

Adroitent, May 2011 - June 2013

SQL/JAVA DEVELOPER

Responsibilities:

  • Developed physical data models and created DDL scripts to create database schema and database object.
  • Wrote user requirement documents based on functional specification.
  • Created new tables, written stored procedures, triggers for Application Developers and some user defined functions. Created SQL scripts for tuning and scheduling.
  • Involved in performing data conversions from flat files into a normalized database structure.
  • Developed source to target specifications for Data Transformation Services.
  • Developed functions, views and triggers for automation.
  • Extensively used Joins and sub-Queries to simplify complex queries involving multiple tables and also optimized the procedures and triggers to be used in production.
  • Performance Tuning in SQL Server 2000 using SQL Profiler and Data Loading.
  • Installing SQL Server Client side utilities and tools for all the front-end developers/programmers.
  •  Involved in performance tuning to optimize SQL queries using query analyzer.
  • Created indexes, Constraints and rules on database objects for optimization.
  • Creation/ Maintenance of Indexes for various fast and efficient reporting processes.
  • Monitored the Database Growth and Space Requirement. Handling Users/Logins/User Rights.
  • Managing historical data from various heterogeneous data sources (i.e. Excel, Access).
  • Designed the front-end user interface using JSP, Servlets, jQuery, AJAX, JavaScript, CSS.
  • Strong understanding of JavaScript, its quirks, and workarounds.
  • Proficient understanding of cross-browser compatibility issues and ways to work around such issues.
  • Worked with a variety of issues involving multithreading, server connectivity and user interface.
  • Design of application components using Java Collections and providing concurrent database access using multithreading.

Education Qualification

B.Tech CSE 2005 - 2009 from Nova College of Engineering

INTERMEDIATE MPC 2003 -05 from Sri Chathanya Educational Institute

SSC 2002 - 03 from St.joseph High School


Resume
Profile
IMG_7370.JPG

Mallikarjuna Reddy G

6+ years of IT experience in Architecture, Analysis, design, development, implementation, maintenance and support with experience in developing strategic methods for deploying big data technologies to efficiently solve Big Data processing requirement.
 Around 3+ years of experience on BIG DATA using HADOOP framework and related technologies such as HDFS, HBASE, MAPREDUCE, SPARK, HIVE, PIG, FLUME, OOZIE, SQOOP and ZOOKEEPER.

Summary

Excellent understanding /knowledge on HADOOP(Gen-1 and Gen-2) and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node, Resource Manager (YARN), Node Manager and Aplication Master. 

Expert in understanding the data and designing/implementing the enterprise platforms like Hadoop data lake and huge Data warehouses.

Have over 2 years of experience as Hadoop Architect with very good exposure on Hadoop Technologies like HDFS, YARN, MapReduce, Sqoop, Flume, HBase, Hive, Presto, Oozie and Spark.

Good understanding of NoSQL databases and hands on working experience in writing applications on NoSQL 
databases like HBase, Cassandra and MongoDB.
Knowledge on HADOOP security services like RANGER and KNOX configured over HDP cluster and have sufficient experience on Application Server TOMCAT and Web Server APACHE.

Played a vital role in Launching spark on Yarn and pretty good knowledge on spark configuration and monitoring Scheduled jobs.
Developed couple of spark applications with the help of PySpark, SPARK SQL and DATA FRAME API Not only SPARK SQL but also great hands of expertise on SPARK STREAMING.
Worked on Spark Jobs In-order to do Tuning and Optimizing an end to end BENCHMARK which includes setting up different Conf and LEVERAGING Spark SPECULATION to Identify and Re-Schedule Slow Running Tasks.
Developed analytical components using PySpark, SCALA, SPARK, STORM and SPARK STREAM. 
Worked extensively with DIMENSIONAL MODELING, DATA MIGRATION, DATA CLEANSING, DATA PROFILING, and ETL PROCESS features for data warehouses. 
Used UNIX/Linux shell scripting to automate system administration tasks, system backup/restore management and user account management.
Worked on data load from various sources i.e., Oracle, My-SQL, DB2, My-SQL SERVER to CASSANDRA, MONGO DB, HADOOP using SQOOP and PYTHON SCRIPT. 
Knowledge in creating the TABLEAU dashboards with relational and multi-dimensional databases including Oracle, MYSQL and HIVE, gathering and manipulating data from various sources. 
Having experience in Mark-Logic architecture and design, in performance tuning, dashboards and TABLEAU reports. 

Skills


Technology

Hadoop Ecosystem/J2SE/J2EE/JDK1.7, 1.8/ Database


Opersting Systems

Windows Vista/XP/NT/2000/ LINUX (Ubuntu, Cent OS), UNIX.


DBMS/Databases

ORACLE, My SQL, POSTGRE.


Programming Languages

Core Java, Python, Scala, Struts, Spring, Java Script


Big Data Ecosystem

HDFS, Map Reducing, Oozie, Hive, Pig, Sqoop, Flume, splunk, Scala, Spark, Zookeeper, Kafka and HBASE.


Methodologies

Agile scrum, Waterfall.


NoSql Databases

HBase, CASSANDRA, MONGODB


Experience

Reliance Techservices, Oct 2015 - Present

SR HADOOP/SPARK DEVELOPER
Responsibilities:

  • Understanding the data nature from different sources and designing the injection processes for HDFS
  • Developed Spark scripts by using PySpark shell commands as per the requirement.
  • Developed pig scripts to transform the data into structured format and automated through Oozie coordinators.
  • Collected data using SPARK STREAMING from Source in near-real-time and performs necessary Transformations and Aggregation on the fly to build the common learner data model and persists the data in HDFS.
  • Explored the usage of SPARK for improving the performance and optimization of the existing algorithms in HADOOP using SPARK CONTRXT, SPARK SQL and SPARK YARN.
  • Worked with SPARK STREAMING to ingest data into Spark Engine. 
  • Developed Spark Code using PySpark and SPARK-SQL/STREAMING for faster testing and processing of data.
  • Involved in converting Hive/SQL queries into Spark Transformations using SPARK RDDs and SCALA.
  • Worked on the SPARK SQL and Spark Streaming modules of SPARK and used Scala and PySpark to write code for all Spark use cases.
  • Extensive experience in using THE MOM WITH ACTIVE MQ, APACHE STORM, APACHE SPARK & KAFKA MAVEN AND ZOOKEEPER. 

Accenture,  July 2013 - Sep 2015

JAVA/HADOOP DEVELOPER
CLIENT: Mc Donalds
Responsibilities:

  • Worked extensively in creating MAPREDUCE jobs to power data for search and aggregation. Designed a data warehouse using HIVE.
  • Importing and exporting data into HDFS and HIVE using SQOOP.
  • Used Bash Shell Scripting, SQOOP, AVRO, Hive, Pig, Java, Map Reduce daily to develop ETL, batch processing, and data storage functionality.
  • Used PIG to do data transformations, event joins and some PRE-AGGREGATIONS before storing the data on the HDFS.
  • Exploited HADOOP MYSQL-Connector to store Map Reduce results in RDBMS.
  • Analyzed large amounts of data sets to determine optimal way to aggregate and report on it.
  • Worked on loading all tables from the reference source database schema through SQOOP. 
  •  Worked on designed, coded and configured server side J2EE components like JSP, AWS and JAVA.
  • Collected data from different databases (i.e. Oracle, MYSQL) to HADOOP.
  • Used OOZIE and Z00KEEPER for workflow scheduling and monitoring.
  • Worked on Designing and Developing ETL Workflows using Java for processing data in HDFS/HBASE using OOZIE.
  • Experienced in managing and reviewing HADOOP log files.
  • Involved in loading and transforming large sets of structured, semi structured and unstructured data from relational databases into HDFS using SQOOP imports.
  • Working on extracting files from MYSQL through SQOOP and placed in HDFS and processed.
  • Supported Map Reduce Programs those running on the cluster.
  • Cluster coordination services through ZOOKEEPER.
  • Involved in loading data from UNIX file system to HDFS.
  • Created several Hive tables, loaded with data and wrote Hive Queries in order to run internally in Map Reduce.
  • Developed Simple to complex Map Reduce Jobs using HIVE and PIG.
  • Involved in Analyzing system failures, identifying root causes, and recommended course of actions.
  • Used MAPREDUCE to process the large data sets over a cluster of computers using parallel processing. 
Environment: Apache Hadoop, MapReduce, Hdfs, Hive, Java, Sql, Pig, Flume, Zookeeper, Java (Jdk1.6), Flat Files, Oracle 11g/10g, MySql, Windows NT, Unix, Sqoop, Hive, Oozie, HBase.

Adroitent, May 2011 - June 2013

SQL/JAVA DEVELOPER

Responsibilities:

  • Developed physical data models and created DDL scripts to create database schema and database object.
  • Wrote user requirement documents based on functional specification.
  • Created new tables, written stored procedures, triggers for Application Developers and some user defined functions. Created SQL scripts for tuning and scheduling.
  • Involved in performing data conversions from flat files into a normalized database structure.
  • Developed source to target specifications for Data Transformation Services.
  • Developed functions, views and triggers for automation.
  • Extensively used Joins and sub-Queries to simplify complex queries involving multiple tables and also optimized the procedures and triggers to be used in production.
  • Performance Tuning in SQL Server 2000 using SQL Profiler and Data Loading.
  • Installing SQL Server Client side utilities and tools for all the front-end developers/programmers.
  •  Involved in performance tuning to optimize SQL queries using query analyzer.
  • Created indexes, Constraints and rules on database objects for optimization.
  • Creation/ Maintenance of Indexes for various fast and efficient reporting processes.
  • Monitored the Database Growth and Space Requirement. Handling Users/Logins/User Rights.
  • Managing historical data from various heterogeneous data sources (i.e. Excel, Access).
  • Designed the front-end user interface using JSP, Servlets, jQuery, AJAX, JavaScript, CSS.
  • Strong understanding of JavaScript, its quirks, and workarounds.
  • Proficient understanding of cross-browser compatibility issues and ways to work around such issues.
  • Worked with a variety of issues involving multithreading, server connectivity and user interface.
  • Design of application components using Java Collections and providing concurrent database access using multithreading.

Education Qualification

B.Tech CSE 2005 - 2009 from Nova College of Engineering

INTERMEDIATE MPC 2003 -05 from Sri Chathanya Educational Institute

SSC 2002 - 03 from St.joseph High School