Farsana S
@farsanas
Results-driven Azure Data Engineer developing scalable Azure data pipelines to automate reliable data workflows.
What I'm looking for
I’m a results-driven Azure Data Engineer focused on building scalable data pipelines and automation that improve how teams move and process information. At Tata Consultancy Services, I’ve built on strong foundations across ADF, Python, PySpark, Databricks, Delta Lake, and Lakehouse architecture.
Since July 2021, I’ve developed ADF pipelines, Logic App workflows, and SQL solutions while monitoring CI/CD pipelines to automate data exchange between front-desk platforms and financial calculators by 100%. I also ensured high-quality, reliable data processing across the bank’s cloud ecosystem.
I’ve delivered end-to-end metadata-driven ingestion and replication pipelines in ADF, and I supported migration from SCRIBE to Azure by rebuilding legacy integration jobs as ADF pipelines and Logic Apps workflows through reverse engineering. I’ve worked across three different customers, contributing to project goals in the finance and banking domain.
I also back my engineering with credentials—AZ-900 and DP-900—and take pride in impact: winning First Prize in the TCS AI Hackathon, earning multiple “On the Spot Award” recognitions, and receiving the “Service and Commitment Award” for completing 4 years at TCS.
Experience
Work history, roles, and key accomplishments
Developed scalable Azure Data Factory pipelines, Logic Apps workflows, and SQL solutions, automating data exchange between front-desk platforms and financial calculators by 100%. Built metadata-driven ADF ingestion/replication pipelines and supported migration from SCRIBE to Azure by reverse engineering legacy integration jobs.
Education
Degrees, certifications, and relevant coursework
LBS Institute of Technology for Women
Bachelor of Technology, Applied Electronics and Instrumentation
2017 - 2021
Grade: CGPA: 8.05
B.Tech in Applied Electronics and Instrumentation at LBS Institute of Technology for Women (2017–2021). Graduated with a CGPA of 8.05.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
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