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Latif Sharjil

@latifsharjil

Data Engineer-Hadoop

Chennai, India

Ford Automobiles (Client)Anna University

Latif Sharjil is a Data Engineer with 5.4 years of experience in software design, development, and testing of web and client-server applications. He possesses 2.6 years of specialized expertise in Hadoop and Big Data technologies. His experience covers the full development lifecycle, including ETL processes, performance tuning, and utilizing tools like Spark, Hive, and Sqoop. He is proficient in various databases and programming languages, ensuring robust data solutions.

Experience

Data Engineer-Hadoop

Ford Automobiles (Client)

Client Project•Invalid Date - Present•Chennai

Developed applications using HIVE query and Basic JAVA to increase productivity. Transferred data from FTP server to hive table using TCX tool and created TEM scheduler. Experienced in moving data from RDBMS & TERADATA to hive table using SQOOP and vice versa. Handled Audit Entries in HBASE table. Worked as a data modeler using SAP POWER DESIGNER for creating & Maintaining DDL. Migrated application from HQL to PYSPARK SQL.

Big Data Engineer

Online Analytics (Client-Reebok)

Client Project•Invalid Date - Invalid Date•Chennai

Managed data movement from RDBMS to HDFS and vice-versa using Sqoop. Designed Hive repository with external tables, internal tables, buckets, and Partitions for analytical and operational dashboards. Created Hive queries for analysis and was involved in performance tuning of Hive.

Data Engineer / Oracle Developer

Information Dynamic Private Limited

Company•Invalid Date - Invalid Date•Chennai

Involved in the full development cycle of Planning, Analysis, Design, Development, Testing, and Implementation. Developed SQLServer Stored Procedures, involved in creating tables and Views, and performed performance tuning.

Education

Anna University

Bachelor of Engineering

Invalid Date - Invalid Date

Skills

Big Data Ecosystem
Hadoop
Spark
Hive
Sqoop
SQL
PL/SQL
Scala
Oracle
MySQL
Db2
Oozie
Linux
Windows
HDFS
Data Modeling
ETL