Aslesha B

About Aslesha B

Hi, I’m Aslesha — a data engineer who turns raw, high-volume data into real-time, business-ready insights. With nearly 4 years of experience across AWS, Azure, and GCP, I build cloud-native pipelines, real-time streaming frameworks, and scalable data warehouses that power smarter, faster decisions. I’ve engineered solutions that reduced fraud detection lag by 60% at Wells Fargo and optimized vehicle analytics pipelines at Subaru, using tools like Python, SQL, Spark, Airflow, Power BI, and Snowflake. I specialize in delivering end-to-end systems that are secure, performant, and built for scale. For me, data engineering is more than ETL — it’s about architecting clarity, enabling compliance, and driving innovation through clean, connected data systems. Let’s connect if you’re building the next generation of data platforms — I’m always up for solving complex problems and turning data into decisions.

Experience

1. Data Engineer

   Wells Fargo

   Mar 2025 — Present · Dallas, TX, US

   CLIENT: WELLS FARGO•As a Data Engineer at Wells Fargo, I developed and optimised large-scale ETL pipelines using Python, PySpark, and SQL, enhancing processing speed by 40%. I built real-time streaming solutions with Spark and Azure Event Hubs, reducing data lag by 60% for fraud and compliance use cases. •I architected Synapse-based data lakes and warehouses with star schema modeling, improving reporting efficiency by 45%, and automated BI workflows with Power BI, Alteryx, and Python, increasing ETL stability by 50%. •Additionally, I improved SQL query performance by 60%, supported data governance, and helped enhance audit readiness by 30% through data lineage management and CI/CD integration using GitHub Actions, Jenkins, and Terraform.

Education

• Kakatiya Institute of Technology & Science, Yerragattu Hillocks, Bheemaram, Hasanparthy, Warangal

  Bachelor's degree, Information Technology

• Stevens Institute of Technology

  Master's degree, Management Information Systems, General