• Mar 01 2016 - Present

Project: Experience team

Collaborated closely with the client to design and implement a comprehensive Data Quality Framework aimed at improving the reliability, accuracy, and trustworthiness of enterprise data across critical business domains. The initiative was part of a broader data governance strategy, ensuring that analytical, financial, and regulatory reporting systems receive clean, validated, and consistent data.

Technologies: Hadoop, Spark, Scala, Python, HDFS, Hive, SQL

• Apr 01 2020 - Present

Project: Fraud Risk Analytics

Developed and maintained a high-throughput Fraud Risk Analytics platform to process and analyze large volumes of transactional data from credit card systems, payment gateways, and customer profiles. The objective was to detect suspicious patterns and anomalies in real time and enhance the accuracy of fraud detection and prevention systems.

Technologies: Spark, Scala, Python, AWS (EMR, S3, Redshift), Databricks, Jenkins

• Jun 01 2021 - Present

Project: Banking Billing team

As part of the Data Engineering team, developed a scalable and automated pipeline to generate Client Billing Reports for a major retail banking institution. The project aimed to streamline monthly, quarterly, and ad-hoc billing operations for services such as account maintenance, transactional charges, loan processing, credit card operations, and digital services.

Technologies: Spark, Scala, Python, GCP, Databricks, Airflow, Jenkins, Kubernetes, Argo

• May 01 2022 - Present

Project: Market maker Reporting Team

To build a robust data pipeline that extracts, transforms, and publishes daily or intraday Participant-wise Futures & Options reports, showing market participation across clients, FIIs, DIIs, and proprietary traders.

Technologies: Spark, Scala, Python, Databricks, GCP, Unity Catalog, Jenkins, Kubernetes, Argo, SQL