Vijitha Kanumuru
@vijithakanumuru
Senior Data Engineer specializing in Azure ETL/ELT, near real-time ingestion, and data modeling.
What I'm looking for
I bring over 7+ years of experience in Data Warehousing, Data Virtualization, Data Modeling, Big Data Analysis, and Data Science. I focus on building end-to-end data strategies that improve data management efficiency, from ingestion to storage and transformation.
In my current role, I architect and design data solutions that optimize data flow and storage, delivering a 20% improvement in system performance. I develop ingestion pipelines with PySpark, Azure Synapse Analytics, and Azure SQL Database—cutting data processing time by 30%—and implement near real-time ingestion using Azure EventHub and Stream Analytics. I also automate ELT/data engineering activities with PySpark to improve reporting and analytics outcomes, while applying strong data validation to protect integrity.
Previously, I migrated pipelines and models (including moving SQL Server assets to Snowflake) and improved analytics delivery speed by 40% through scalable idempotent pipelines using Python and SQL. I’ve also led teams and delivered complex projects such as radar image processing to extract footprint data and improve risk prediction accuracy, all while working effectively in Agile/Scrum and managing CI/CD with Azure DevOps.
Experience
Work history, roles, and key accomplishments
Architected end-to-end Azure data solutions, improving system performance by 20%. Built PySpark and Synapse ingestion pipelines (including Event Hubs + Stream Analytics near real-time ingestion) to reduce data processing time by 30% and strengthen data integrity for registration and risk analytics.
Senior Data Engineer
Lti Infotech
Mar 2022 - Aug 2022 (5 months)
Developed high-performance ETL systems and migrated data pipelines from Microsoft SQL Server (SSIS/SSRS) to Snowflake on Azure using Python and Denodo. Built and validated complex SQL queries, migrated stored procedures, and performed production root-cause analysis while leading a small team of data engineers and data scientists.
Designed data pipeline workflows for unstructured reporting in Hive, PySpark, SparkSQL, and Python for daily active user tracking. Migrated 86+ SAP HANA reports to Hadoop in 10 months and increased analytics delivery speed by 40% using scalable idempotent Python/SQL pipelines and data quality testing.
Data Engineer
Bank Of The West
Jan 2017 - Apr 2020 (3 years 3 months)
Integrated data from SharePoint, XML/JSON, delimited files, and Oracle 12c/SQL Server 2016 using Denodo 7.0 data virtualization. Optimized queries and indexing to improve data-fetch efficiency by 30%, monitored and alerted via Splunk, and performed load testing with JMeter to identify performance bottlenecks.
Education
Degrees, certifications, and relevant coursework
Saskatchewan Polytechnic
Postgraduate Diploma, Machine Learning
Completed a Postgraduate Diploma in Machine Learning at Saskatchewan Polytechnic in Saskatoon.
University of Texas at Arlington
Master of Science in Information Systems, Information Systems
Earned a Master of Science in Information Systems from The University of Texas at Arlington.
Sree Vidyanikethan Engineering College
Bachelor of Science in Computer Science, Computer Science
Completed a Bachelor of Science in Computer Science at Sree Vidyanikethan Engineering College in India.
Availability
Location
Authorized to work in
Portfolio
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Skills
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