Akhil Kusam

About Akhil Kusam

Senior Data Engineer with 5+ years of experience designing and building scalable, cloud‑native data platforms across finance, retail, and OEM domains. I specialize in end‑to‑end data engineering—from real‑time ingestion and large‑scale ETL to analytics‑ready data models that power executive reporting and AI‑driven insights.Experienced in Python, SQL, Spark, Kafka, Airflow, dbt, and modern cloud platforms including AWS, Azure, and GCP. Strong background in Snowflake, Redshift, BigQuery, and Synapse, with a proven record of improving data reliability, performance, and time‑to‑insight.I enjoy building self‑service analytics platforms, enabling near real‑time decision‑making, and partnering closely with product, analytics, and business stakeholders. Currently working on high‑impact data products supporting enterprise sales, pricing, and deal intelligence.Core Skills:Data Engineering • Cloud Data Platforms • Streaming & Batch Pipelines • dbt • Airflow • Snowflake • Spark • Kafka • AWS • Azure • GCP • APIs • Analytics Enablement • CI/CD • Data Quality

Experience

1. Sr Data Engineer

   Capital One

   Jan 2025 — Present

   Designed and built end‑to‑end data pipelines ingesting Salesforce quote, SKU, and deal data using Python, SQL, and Apache Airflow, producing analytics‑ready datasets in Snowflake and Redshift.Created a standardized, SKU‑centric data model with dbt to enable consistent enterprise reporting across Power BI, SSRS, and executive dashboards.Developed a self‑service analytics platform using React, Node.js, and REST APIs, enabling sub‑second query access for business users.Implemented real‑time ingestion and change data capture using Kafka and AWS Kinesis, reducing reporting latency from hours to minutes.Analyzed 1,300+ customer and account responses in Snowflake, supporting insights that contributed to a $300M sales pipeline.

Education

• University at Buffalo

  Master's degree, Data Science