Subhadip Mukherjee
Technical Lead @Wipro
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WORK HISTORY
Technical Lead @Wipro
Toronto, ON, CA
EDUCATION
Birla Institute of Technology and Science, Pilani
Master of Technology - MTech, Data Science and Engineering
Jalpaiguri Government Engineering College
Engineer's Degree, Computer Science and Engineering
ABOUT SUBHADIP MUKHERJEE
Working as a Data Engineer in Wipro Technologies (Canada). Requirement gathering, understanding data, engineering features for the data science model and automating the process flow is the key role as MLE/DE. More than 11 years of experience as ETL Data Specialist with a demonstrated history of working in the information technology and services industry. Skilled in Python, GCP [Bigquery, Cloud Run, Cloud Functions, Firestore, Cloud SQL, Cloud Build, Airflow(For orchestration), DBT (to run ETLs)], Informatica, Data Stage, SQL, Teradata, Oracle, Netezza, Shell Scripting, and Unix. Strong engineering professional with an Engineer\'s Degree focused on Computer Science and Engineering from Jalpaiguri Government Engineering College. Skills: • Python - 5+ years of experience in python to build data pipelines as well as machine learning methodologies. • GCP - Working in GCP [Firestore, Bigquery, Cloud Run, Cloud Functions, Firestore, Cloud SQL, Cloud Build, Airflow(For orchestration) etc] to build analytical as well as transactional pipeline- 1.5 years of experience. • SQL - 11+ years of experience in ANSII SQL as well as RDBMS specific SQLs. • ETL - Total 11+ years of experience including Informatica (7 years) and Data Stage(1 year) and DBT(1 year) • Machine Learning - 2.5 years experience using Python(Product in Bell Canada) and Rapidminer(POC) and IBM Watson Studio(POC). • Databases - Teradata(5+), Oracle(2), MySQL(1), MSSQL(2.5). • Environments - GCP(Cloud), Unix/Linux(On-premises). • Scheduling tools - Apache Airflow, DBT, WLM, Control-M, Autosys. • Data modeling/designing - Using PowerDesigner tool to design enterprise level warehouse structure. • Reporting - Google Data Studio, Tableau - To demonstrate data visualization to management.
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