A dynamic professional with 12+ years of experience as a Data Engineer, ETL developer, Software Design, Development, Testing, and Deployment of Software systems for various Retail, Banking, Money Exchange, and Credit Institutions. Currently helping Home Depot Enterprise Data Warehouse managing ~1.250 PB/1 yr of data with~ 250 pipelines. Expert in Google cloud components Big Query, Cloud Storage, Pub-Sub, Data Flow, Data Proc. Data engineering and Analyst exposure to various projects involve Legacy data migration, Anti Money Laundering, Consumer Fraud Prevention, Trade and surveillance compliance, and Express pass cards. Extensively worked on advanced SQL and hands-on experience on MySQL, Oracle, Postgres, Db2, and Teradata. Well versed in Groovy, Python, PySpark, Java, and Unix Shell Scripting language. Skilled in Data modeling tools (Erwin, Toad ) and Job scheduler ( Maestro, Autosys, Cron). Good Understanding on Big Data (HDFS, Spark, Hive, Sqoop). Accomplished in many Data Analytics tools ( Tableau, At scale, SSAS). Proficient in Jenkins, Git cloud, Jira, confluence, SVN, Splunk. Competent in following agile methodologies like Scrum and Agile, Test Driven Development, and Continuous Integration. Experienced in Data Intelligence(Actimize Modeler, Case Manager, and Designer ) and ETL tools (Informatica) Coordinating the squad team of 6 for task status between onshore and offshore. Google Cloud (Big Query, Pub Sub, GCS ,Data Flow, Data Proc, cloud SQL,) Database (MySQL, Oracle, Postgres,Db2, Teradata) | Big Data (HDFS, Spark, Hive,Sqoop) Language (Python,Groovy,PySpark, Java) | Agile (Jira, Confluence) | DevOps (CI/CD-Jenkins, Git cloud, SVN, Splunk) Data Analytics (Atscale, Tableau, SSAS, Actimize RCM) | Intelligence and ETL (Actimize Moduler, Informatica) #distributed computing #gcp #bigquery