Sai Sree Bollineni — Data Engineer
I am a Data Engineer with hands-on experience building and supporting enterprise-scale data platforms across banking, pharma, and other domains. I specialize in designing and developing production-grade ETL pipelines using Databricks, PySpark, SQL, and cloud platforms such as AWS and Azure. In my current role, I work extensively with Delta Lake and distributed data systems to create reliable, scalable, and high-performance data pipelines. I have strong experience in implementing real-time Change Data Capture (CDC) solutions using Oracle GoldenGate, enabling consistent and near real-time data ingestion from critical source systems. My work focuses on ensuring data quality, optimizing performance, and maintaining robust data governance across the data lifecycle. I am also experienced in transforming raw data into curated, analytics-ready datasets that support downstream reporting, analytics, and machine learning use cases. Currently, I am expanding my skill set in Machine Learning and Generative AI to complement my data engineering expertise and stay aligned with evolving industry demands.
Stackforce AI infers this person is a Data Engineer specializing in enterprise-scale data solutions within the Fintech and Pharma sectors.
Location: Mumbai, India
Experience: 1 yr 10 mos
Skills
- Data Engineering
- Etl Pipelines
Career Highlights
- Expert in building enterprise-scale data platforms.
- Proficient in real-time Change Data Capture solutions.
- Expanding skill set in Machine Learning and Generative AI.
Work Experience
Accenture in India
Data Eng, Mgmt & Governance (1 yr 10 mos)
Education
Bachelor of Technology - BTech at KL University