Sri varsha chakranthi
@srivarshachakranthi
Data Engineer focused on scalable Azure pipelines and analytics solutions.
ZimbabweWhat I'm looking for
I’m a Data Engineer with 3+ years of experience designing and implementing scalable, cloud-based data pipelines and analytics solutions. I build data lake and warehouse patterns that support reliable, data-driven decision-making in Agile environments.
Using Azure Databricks, Azure Data Factory, and Azure Data Lake, I’ve improved load performance by 30% through PySpark optimization and delivered upsert logic for efficient handling of large datasets. I’ve also migrated legacy systems (DB2, on-prem SQL, Oracle) to cloud platforms, achieving up to 70% cost savings while maintaining performance and reliability.
In enterprise environments, I develop warehouse tables with SCD Types, manage data lakes on ADLS, and support smooth operations by supervising ADF pipelines and Control-M jobs. I enjoy raising team capability through KT sessions for junior members and I’ve been recognized with a Raising star Award and Best Team for project execution.
Experience
Work history, roles, and key accomplishments
Designed and loaded warehouse tables with SCD types and built ADLS data lakes, improving data load performance by 30% via PySpark optimizations. Developed Databricks notebooks for API ingestion, implemented upsert logic, supervised ADF/Control-M pipelines, and led KT sessions for junior engineers.
Migrated DB2, on-prem SQL, and Oracle systems to cloud platforms, achieving up to 70% cost savings while maintaining performance and reliability. Built ADF pipelines for 100+ TB into Delta/Parquet/CSV, documented PII governance, and optimized PySpark/Spark SQL business logic and deployments.
Education
Degrees, certifications, and relevant coursework
IIIT Nuzvid (RGUKT)
Bachelor of Technology (B.Tech)
2018 - 2022
Completed a Bachelor of Technology (B.Tech) at IIIT Nuzvid (RGUKT) from 2018 to 2022.
Tech stack
Software and tools used professionally
Availability
Location
ZimbabweAuthorized to work in
Job categories
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