I’m a passionate and detail-oriented Data Engineer with over 5.5 years of experience in designing, developing, and optimizing large-scale data pipelines. My core expertise lies in Big Data technologies including PySpark, Hive, SQL, and Hadoop, with hands-on experience in Cloudera and data lake architectures.
I’ve worked extensively in the banking domain, particularly in Anti-Money Laundering (AML) systems, building end-to-end ETL workflows to detect suspicious transactions and generate alerts used by downstream investigation teams.
I enjoy solving complex data challenges, improving data quality, and ensuring high-performance processing under strict SLAs. I’m always eager to collaborate across teams and continuously improve systems for scalability and reliability.
I’m currently based in India and open to full-time remote or freelance data engineering roles.