Utkarsh Singh — Data Scientist
I am a Data Engineer with 4+ years of experience in designing, optimizing, and automating large-scale data pipelines. I specialize in big data processing and real-time streaming using Spark, Kafka, Databricks, Redshift, Snowflake, Hive, and Airflow, with strong expertise in ETL/ELT design, CI/CD automation (Jenkins, GitHub), and performance tuning. 🚀 Over my career, I’ve: Automated billing systems, eliminating 100% of manual processes and reducing query times by up to 90%. Re-engineered legacy pipelines with PySpark + Hive partitioning for faster, scalable analytics. Built end-to-end automation for reporting, email notifications, and application billing status, saving hundreds of hours for finance and operations teams. Implemented Airflow and Control-M orchestration for event-driven pipelines, integrating with CI/CD to streamline deployments and monitoring. ✨ I am passionate about building scalable, cost-efficient data platforms that empower teams with real-time insights while eliminating repetitive work. Known for collaborating with global stakeholders, I bridge technical depth with business needs to deliver measurable impact.
Stackforce AI infers this person is a Data Engineer specializing in Big Data and ETL solutions.
Location: Bengaluru, Karnataka, India
Experience: 4 yrs 9 mos
Skills
- Data Engineering
Career Highlights
- Automated billing systems, reducing query times by up to 90%.
- Re-engineered legacy pipelines for faster analytics.
- Implemented orchestration for event-driven pipelines.
Work Experience
Visa
Senior Data Engineer (1 yr 8 mos)
Netflix
Data Engineer (1 yr 2 mos)
Wipro
Data Engineer (1 yr 11 mos)
Education
B.Tech Hons at JSS ACADEMY OF TECHNICAL EDUCATION, NOIDA
Class 12th at Simpkins School
Class 10th at St. Francis' College, Lucknow, India