Skip to main content
Veerabhadra Hareesh

Veerabhadra Hareesh

Data Engineer

Talent
Hyderabad, TelanganaMember since June 17, 2026
PythonScalaBigQueryHiveGCPDataprocLookerComposerDataflowPub/SubAgileCI/CDMicroservicesLookMLKafkaSpark
·

Hire this person

Send a job offer directly to this candidate

PythonScalaBigQueryHiveGCP

About

Data Engineer with over 2.5 years of practical experience in Python, advanced SQL, and distributed data frameworks including Spark, Kafka, and Hive. Skilled in implementing scalable data workflows on GCP (BigQuery, Dataflow, Pub/Sub, Composer), handling 5TB+ daily for analytics, reporting, and cost analysis.

Experience

Program Analyst at Cognizant (2025-05 – Present)

  • Designed and deployed scalable data pipelines on GCP (Dataproc, Dataflow, BigQuery), processing 5TB+ of data daily and reducing end-to-end data latency by 35%.
  • Engineered real-time ingestion pipelines using Pub/Sub and Spark Streaming, reducing batch-to-stream transition time by 80% for high-impact analytics.
  • Built and optimized OLAP models supporting dashboards across 6 departments, improving data accessibility and reducing report generation time by 50%.
  • Developed and deployed RESTful microservices in Python, improving API response time by 25% and enabling seamless access to real-time data.
  • Applied test-driven development and CI/CD with Jenkins and Cloud Build, reducing production defects by 40% and cutting deployment times from hours to minutes.
  • Mentored 2 junior engineers and led multiple Agile sprints, boosting overall team velocity by 20%.
  • Implemented comprehensive monitoring and alerting using Cloud Monitoring and Logging, cutting incident resolution time by 45% and improving system uptime by 15%.

Data Analyst at Genpact (2024-06 – 2025-01)

  • Engineered automated data pipelines to ingest GCP billing and usage data via BigQuery Billing Export and GCP Reports, enabling 100% coverage of cost data.
  • Developed Looker dashboards with LookML, SQL Runner, and advanced filters, reducing reporting time by 50% and improving stakeholder visibility.
  • Defined and monitored 20+ KPIs, driving cloud cost optimization initiatives and enabling a 15% reduction in monthly spend.
  • Designed data dashboards in Looker with drill-downs and parameterized filters, improving usability and enabling 60% deeper analytical exploration based on usage metrics.

Education

B.Tech in Computer Science and Engineering – St. Peter's Engineering College (2020 – 2024)

Skills

Data Engineer

Reviews

Related