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Rama MaddiletiRM
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Rama Maddileti

@ramamaddileti

Data engineer designing Azure ETL/ELT pipelines that improve data quality, performance, and reliability.

India
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What I'm looking for

I’m looking for an Azure-focused data engineering role where I can build reliable ETL/ELT, optimize Spark/Delta pipelines, and strengthen data quality through validation, performance tuning, and CI/CD-backed production support.

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

AP
Current

Data Engineer

AU Technology Consulting PVT

Mar 2024 - Present (2 years 4 months)

Engineered end-to-end ETL/ELT pipelines in Azure Data Factory integrating SAP, SQL, Oracle, REST APIs, Blob Storage, and ADLS Gen2, reducing manual integration effort by 60%. Built PySpark/Spark SQL Databricks notebooks, implemented Delta Lake with incremental loading and CDC, and improved batch runtime by 40%.

Education

Degrees, certifications, and relevant coursework

JNTU Kakinada (JNTUK) logoJJ

JNTU Kakinada (JNTUK)

Bachelor of Technology (B.Tech), Mechanical Engineering

2016 - 2020

Earned a B.Tech in Mechanical Engineering at JNTU Kakinada (JNTUK), building a technical foundation that supported a transition into data engineering.

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