Team Drivetube
Data Engineer • United States • d***********@gmail.com • +11******890 • linkedin.com/••••• • drivetube-k.netlify.app/•••••
Professional Summary
Data Engineer with 4+ years building scalable ETL pipelines and reliable data platforms across healthcare, supply chain, and IT services. Strong Python and SQL background with hands-on experience in Apache Spark, Airflow, Snowflake, Azure Data Factory and AWS (S3, Glue, Redshift). Proven record of improving pipeline performance by up to 35%, reducing manual workloads by 40%, and delivering production-ready datasets that enable analytics and ML use cases while ensuring data quality and HIPAA-compliant handling.
Technical Skills
Programming & Scripting: Python,SQL,PySpark,Pandas,NumPy
Data Processing & Orchestration: Apache Spark,Apache Airflow,ETL / ELT pipeline design,Batch processing,Data transformation & partitioning
Cloud Platforms & Data Services: AWS S3,AWS Glue,Amazon Redshift,Azure Data Factory,Snowflake
Databases & Warehousing: PostgreSQL,MySQL,Snowflake data warehousing,Data modeling
Data Quality & Governance: Data validation,Data profiling,Data cleaning,Data quality checks,HIPAA compliance
Analytics & Visualization: Power BI,Tableau,Excel (advanced)
Version Control & Tools: Git,GitHub,Jupyter Notebook
Work Experience
Humana
Louisville, Kentucky, United States
Data Engineer
Jul 2024 – Present
Fortune 100 health insurance provider; engineered and governed clinical & claims data pipelines to fuel analytics and risk-stratification initiatives.
Tech Stack: Python, PySpark, Apache Airflow, AWS S3, AWS Glue, Amazon Redshift, SQL, Jupyter Notebook
- Engineered scalable ETL pipelines to ingest and process clinical and claims data from multiple sources, improving data availability for analytics teams by 30%.
- Implemented PySpark-based transformations and partitioning strategies to reduce pipeline execution time by 35% for large healthcare datasets.
- Built Airflow DAGs for orchestration, monitoring, and retry logic to ensure reliable end-to-end data workflows and reduce manual intervention.
- Integrated secure storage and processing on AWS (S3, Glue, Redshift) with validation checks and lineage tracking to meet HIPAA compliance and auditability requirements.
- Collaborated with a cross-functional team of data scientists, analysts, and product owners to deliver high-quality datasets that improved predictive model performance for risk stratification.
Patterson Companies
Minneapolis, Minnesota, United States
Data Engineer
Jan 2023 – Jun 2024
B2B supply-chain organization; delivered reliable inventory, sales, and logistics data pipelines for analytics and reporting.
Tech Stack: Python, SQL, Snowflake, Azure Data Factory, Power BI, Tableau, PostgreSQL, MySQL
- Designed and maintained end-to-end ETL pipelines processing inventory, sales, and logistics data using Python, SQL, Snowflake and Azure Data Factory, increasing reporting efficiency by 30%.
- Implemented robust transformation and validation logic to resolve data inconsistencies and improve data accuracy by 35%.
- Automated data ingestion and load processes to Snowflake, reducing manual processing effort by 40% and enabling near-real-time dashboards for supply chain teams.
- Optimized Snowflake data models and query performance via clustering/partitioning strategies and SQL tuning to accelerate business-critical reports.
- Partnered with BI and operations stakeholders to define KPIs and deliver reliable datasets for downstream reporting in Power BI and Tableau.
Wipro
India
Data Analyst
Jul 2021 – Jun 2022
Global IT services firm; provided data analysis and automated reporting to help client teams uncover operational insights and meet SLA commitments.
Tech Stack: SQL, Python, Excel, Power BI, Tableau, Jupyter Notebook
- Analyzed business and operational datasets to surface trends and insights that improved decision-making efficiency by 20%.
- Developed and maintained SQL queries, automated reports, and dashboards to support client reporting requirements and SLAs.
- Built automated data processing routines using SQL, Python and Excel, reducing repetitive manual tasks and improving team productivity by ~30%.
- Collaborated with analysts and project managers to deliver timely insights and stakeholder-ready visualizations using Power BI and Tableau.
Education
Texas A&M University-Commerce
Master of Science in Business Analytics • Jul 2022 – May 2024
Coursework: Data Engineering, Machine Learning for Business, Data Mining, Advanced SQL
Vignana Bharathi Institute of Technology
Bachelor of Technology in Information Technology • Hyderabad, India • Aug 2017 – May 2021
Coursework: Database Systems, Data Structures, Software Engineering
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