Avishek Bhandari
@avishekbhandari
I build reliable cloud data pipelines and analytics-ready datasets across AWS and Azure.
United StatesWhat I'm looking for
At Mastercard, I build AWS data pipelines for payment, transaction, settlement, and reconciliation data, delivering curated S3, Redshift, and Snowflake datasets for reporting, fraud analytics, chargebacks, and operational decision-making.
Previously at UnitedHealth Group and Fusemachines, I developed ETL/ELT workflows for healthcare and analytics data using Azure Data Factory, Databricks, PySpark, SQL, Airflow, and Snowflake. I focus on data quality, reconciliation, secure access, and well-documented transformations that make reporting and analytics more reliable.
Experience
Work history, roles, and key accomplishments
Designed and maintained AWS-based ETL pipelines using AWS Glue, PySpark, and SQL to process high-volume payment and transaction datasets into a data lake. Built Bronze, Silver, and Gold data layers and developed SQL transformations for reporting and analytics.
Education
Degrees, certifications, and relevant coursework
Trine University
Master of Science, Information Studies
Pursued a Master of Science in Information Studies at Trine University.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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