Azure Data Engineer with 5+ years of experience in building scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, PySpark, SQL, Azure Synapse, and ADLS Gen2. Experienced in data integration, Delta Lake, CI/CD with Azure DevOps, performance optimization, and delivering secure, high-quality cloud data solutions in Agile environments.
Rama Maddileti
@ramamaddileti
Azure Data Engineer with 5+ years of experience in ADF, Azure Databricks, PySpark, SQL, and Azure Synapse, delivering scalable ETL solutions.
What I'm looking for
I’m a Data Engineer with 4.6 years of experience designing and optimizing Azure-based ETL and ELT pipelines. I build end-to-end data ingestion and transformation using Azure Data Factory, Azure Databricks, ADLS Gen2, Azure Synapse Analytics, Azure SQL Database, and Snowflake—driven by PySpark, SQL, Spark SQL, Delta Lake, CDC, and incremental loading.
In my roles, I’ve delivered CI/CD automation with Azure DevOps, improved data quality and performance through validation and query tuning, and supported secure, production-grade analytics in Agile environments. I focus on metadata-driven, parameterized workflows and robust reconciliation so pipelines run faster, more reliably, and with confidence across many source-to-target flows.
Experience
Work history, roles, and key accomplishments
Data Engineer
AU Technology Consulting PVT
Mar 2024 - Jul 2026 (2 years 4 months)
Worked on the QBE Insurance Management project, developing end-to-end ETL/ELT pipelines using Azure Data Factory, Azure Databricks, PySpark, SQL, and ADLS Gen2. Integrated data from SAP, SQL Server, Oracle, REST APIs, and Blob Storage. Implemented Delta Lake, CDC, and SCD Type 1 & 2, loading curated data into Azure Synapse for analytics and reporting.https://www.auago.com/
Education
Degrees, certifications, and relevant coursework
JNTU Kakinada (JNTUK)
Bachelor of Technology (B.Tech), Mechanical Engineering
2016 - 2020
Grade: 7.5
Activities and societies: N/A
Earned a B.Tech in Mechanical Engineering at JNTU Kakinada (JNTUK), building a technical foundation that supported a transition into data engineering.
Availability
Location
Authorized to work in
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Skills
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