Manjunath Reddy Velagacherla
@manjunathreddyvelaga
Data Engineer specializing in scalable ETL, cloud data platforms, and production-ready pipelines for analytics and ML.
What I'm looking for
I am a Data Engineer with four years' experience designing and maintaining scalable ETL pipelines and data lakes across AWS, Azure, and GCP to support analytics and ML initiatives. I build reliable ingestion, transformation, and orchestration solutions using Python, Databricks, Spark, Airflow, and cloud-native services.
At Equity Bank I developed and optimized production ETL pipelines using Databricks, AWS Glue, Lambda, and Airflow, designed Delta Lake architectures, and implemented validation and schema-evolution practices to improve performance and data quality. Previously at Scadea Solutions I delivered real-time and spatiotemporal pipelines, implemented Kafka streaming with Spark, deployed ML models, and created Power BI/Tableau dashboards for cross-functional stakeholders.
I focus on practical, production-ready solutions that reduce manual effort and accelerate data freshness, collaborating closely with architects and stakeholders to optimize SQL performance, automate data quality checks, and enable data-driven decision-making across business units.
Experience
Work history, roles, and key accomplishments
Data Engineer
Equity Bank
Jun 2024 - Present (1 year 8 months)
Developed and optimized scalable ETL pipelines using Python and Databricks across AWS, automating reporting with Glue and Airflow and designing Delta Lake data architectures to improve storage and query performance.
Data Engineer
Scadea Solutions Inc
Feb 2021 - Jun 2023 (2 years 4 months)
Built production ETL and streaming pipelines using Azure Data Factory, AWS Lambda, Kafka and Spark, deployed ML models for predictive analytics, and created BI dashboards to improve cross-functional data visibility.
Education
Degrees, certifications, and relevant coursework
University of Central Missouri
Master of Science, Computer Science
Grade: 3.3/4
Completed a Master of Science in Computer Science with a GPA of 3.3/4.
SCSVMV University
Bachelor of Technology, Computer Science
Grade: 3.7/4
Completed a Bachelor of Technology in Computer Science with a GPA of 3.7/4.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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