Lakkaraju Anjaneya Vara Prasad
Programming Analyst @Cognizant
Signup · Get unlimited contacts
WORK HISTORY
Programming Analyst @Cognizant
Hyderabad, IN
Designed and automated end-to-end ETL pipelines ingesting 1–2 million banking transactions/day fromSQL Server, REST API data sources, and flat files ingested from NAS (Network Attached Storage)paths into Azure Data Lake Storage Gen2 (ADLS Gen2) and Azure Synapse Analytics using AzureData Factory (ADF) and Databricks (PySpark).– Improved PySpark job performance by 15–20% through optimization strategies such as partitioning,caching, and optimized joins, enhancing workload efficiency and reducing overall compute costs.– Developed and maintained 4–7 production-grade ETL pipelines with automated error handling andscheduling, reducing manual monitoring by 20% and lowering pipeline failure incidents by 15%.– Authored Structured Query Language (SQL) validation queries that improved reporting data accuracyby 10%, ensuring reliable datasets consumed by Power BI (data validation, governance, reportingenablement) dashboards for fraud detection and customer analytics.– Collaborated with business analysts, QA engineers, and senior developers to deliver compliant, highqualitydata solutions in an Agile/Scrum environment.
EDUCATION
The central public school
High School
Vasireddy Venkatadri International Technological University
Bachelor of Technology - BTech, Mechanical Engineering
Sri Chaitanya College of Education
Intermediate, MPC
ABOUT LAKKARAJU ANJANEYA VARA PRASAD
Highly motivated Azure Data Engineer / Big Data Engineer with 2 years of experience designing anddeveloping scalable cloud-based ETL pipelines using Azure Data Factory (ADF), Databricks (PySpark),Azure Data Lake Storage Gen2 (ADLS Gen2), and Azure Synapse Analytics. Proven ability to automateETL processes, optimize Spark workloads, and ensure high data quality for analytics and reporting inbanking domains. Microsoft Certified: Azure Data Engineer Associate (DP-203).
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.