Data Engineer Resume Irving, TX - Hire IT People

SUMMARY

I have 7 Years of overall experience as an Oracle/Application Developer. Solid understanding of Big Data components - Hive, HBase, MongoDB, Oozie, Sqoop, Spark, Kafka, MySQL, Oracle. Developed expertise with Python, PySpark, PyMongo. Good understanding of design & development of SDLC, Data Warehousing, Relational Database Systems and ETL tools. Worked on Pandas and Matplotlib. 3 years of experience in C, C++, Visual Basic 6, Visual C++, VBA. Experienced in LINUX Shell Scripts.

TECHNICAL SKILLS

Hadoop Ecosystem: Hadoop, Spark, Kafka, Hive, Oozie, Sqoop, MapReduce, HDFS and Zookeeper

Programming Languages: Python, Pandas, Matplotlib, C, C++, Visual Basic

Databases: Oracle 9i/10g, MySQL, NoSQL - Mongo, HBase

Platforms: Linux, Windows

Methodologies: Agile and Waterfall Model

PROFESSIONAL EXPERIENCE

Data Engineer

Confidential

Responsibilities:

Expertise in Hadoop ecosystem components like HDFS, Map Reduce, Yarn, HBase, Sqoop, Oozie, SQL, PLSQL, Spark, Zookeeper, Mongo DB and Hive for scalability, distributed computing, and high-performance computing.
Capable of processing large sets of structured, semi-structured and unstructured data and supporting systems application architecture.
Having good knowledge of Single node and Multi-node Cluster Configurations.
Experience in tuning the performances by using Partitioning, Bucketing and Indexing in Hive.
Created Hive tables to store data into HDFS and processed data using HiveQL.
Transferred MySQL tables to Hive with Sqoop.
Can also transfer .csv files to HBase.
Experienced in Sqoop, Oozie workflows and scheduling.
Intermediate to advanced knowledge in Python programming.
Extensively involved in various activities of the project like information gathering, analyzing and documenting the functional or business requirements.
Interacted with external vendors in finalizing the business requirements.
Built and maintained SQL scripts, indexes, and complex queries for data analysis and extraction.
Developed stored procedures and complex packages extensively using PL/SQL and shell programs.

Technology used: Oracle 9i SQL, PL/SQL, Linux, Windows

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Data Engineer Resume

Irving, TX

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