Raju Raju

Having 9+ years of experience in designing and delivering scalable cloud-based data solutions. Expert in Azure Data Factory, Databricks, Synapse, and Azure Data Lake, with strong proficiency in Python, PySpark, and SQL. Proven track record of building end-to-end ETL pipelines, having experience in Development, Maintenance and support of Data warehousing applications using IICS/IDMC and informatica Power Center and real-time streaming solutions.

Adept at collaborating with business stakeholders, optimizing performance, and leading data engineering initiatives. Having experience in designing, developing, and optimizing large-scale data pipelines with a strong focus on Azure Data Platform. Successfully delivered end-to-end Azure solutions using ADF, Databricks, Synapse Analytics, and ADLS Gen2 for enterprise-scale data processing.

Implemented real-time streaming solutions with Azure Event Hub + Databricks, enabling near real-time analytics for fraud detection and claims monitoring.

Architected Delta

Lake-based lake house platforms supporting BI workloads for insurance, retail, and financial clients. Strong background in data modeling, data governance, and performance optimization, ensuring high-quality, reliable, and compliant datasets for analytics & reporting. Proven experience in mentoring junior engineers and leading cross-functional teams in data-driven projects.

Extensive

Experience in UNIX and Windows Operating Systems.

Data Engineer - Capgemini

(2024-04 - 2025-05)

System analyst - Hexaware Technologies

(2020-12 - 2024-03)

Senior Software engineer - NTT Data

(2019-01 - 2020-12)

ETL developer - Pacific IT consulting Private limited

(2018-04 - 2018-12)

B.Tech - Computer Science and Information Technologies - JNTU