Jayanth Angappan — Data Engineer

Data Engineer with 3 years of experience designing, developing, and optimizing end-to-end data pipelines, data products, and governance frameworks within large-scale financial services environments at UniCredit. Proficient in PySpark, SQL, Python, Palantir Foundry, with deep hands-on expertise in building scalable ETL and data transformation workflows on Palantir Foundry and WitBoost. Experienced in automating data quality validation, enforcing business rules, and managing metadata to ensure data integrity and regulatory compliance across distributed systems. Skilled in orchestrating and deploying pipelines using Apache Airflow and Jenkins CI/CD, with working knowledge of MongoDB and Power BI for analytics and reporting. Certified Google Associate Cloud Engineer and Google Data Practitioner, with additional expertise in Data Warehousing on GCP and GitHub Advanced Security. Passionate about delivering reliable, compliant, and business-aligned data solutions that empower organizations to make confident, data-driven decisions.

Stackforce AI infers this person is a Data Engineer in the Fintech industry.

Experience: 3 yrs