Revan K
Data Analyst & Data Engineer | Python · SQL · Apache Spark · AWS · ETL Pipelines · Tableau | Open to Roles at Google · Amazon · Top Tech
- Role
- Data Analyst at Centene Corporation
- Location
- Pittsburgh, PA, US
- LinkedIn followers
- 500 followers
About Revan K
I\'m a Data Analyst and Data Engineer with 4+ years of experience turning complex, messy data into systems and insights that drive real business decisions.My work spans the full data lifecycle — from designing Apache Airflow ETL pipelines and Spark jobs that process millions of records daily, to building executive dashboards in Tableau and Power BI that cut reporting cycle times by 30%.What I bring to the table:→ Python (Pandas, Scikit-learn, NumPy) for automation, ML, and feature engineering→ SQL expertise across Snowflake, PostgreSQL, Redshift, and Teradata at terabyte scale→ Cloud-native data engineering on AWS (S3, Redshift, RDS, EC2) and GCP BigQuery→ Apache Spark, Hadoop, and Hive for big data workloads up to 2TB→ Machine learning models (Regression, Decision Trees) deployed in production at Nike→ A/B testing and statistical analysis that lifted email engagement by 20% at Parkal LLCI\'ve built data infrastructure at Nike\'s Global Technology Division, delivered analytics for healthcare at Centene, and optimized marketing data pipelines at a digital agency.I\'m currently pursuing the AWS Certified Data Analytics – Specialty certification.Open to Senior Data Analyst, Data Engineer, and Analytics Engineer roles at fast-moving, data-driven companies.
Experience
Data Analyst
Jun 2025 — Present · St. Louis City County, MO, US
Architected Tableau and Power BI dashboards for 10+ stakeholder groups, cutting reporting cycle time by 30% and saving 8 hrs/week of manual work. Built Apache Airflow ETL pipelines that reduced data latency by 40% and maintained 99.9% SLA compliance. Wrote 50+ SQL stored procedures and window functions across multi-terabyte data warehouses. Automated Python (Pandas/Scikit-learn) workflows processing 100K+ records, improving data accuracy by 22%. Ran large-scale Spark, Hadoop, and Hive workloads on multi-TB healthcare datasets. Partnered with engineering, product, and operations to deliver self-service analytics solutions.
Education
Robert Morris University
Master's degree, Information Technology
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