Faisal Khan
Senior Data Engineer | AWS | Python | PySpark | SQL | Data Modeling | Airflow | ETL/ELT Pipelines | Data Mesh | Streaming & Batch Processing | Cut data processing time by 39% | Open to Relocation✈️🌍
- Role
- Module Lead at Impetus
- Location
- Ghaziabad, UP, IN
- LinkedIn followers
- 500 followers
About Faisal Khan
I help teams turn complex, scattered data into reliable systems that drive clear business outcomes. With 11 years in IT and 5 years focused on Data Engineering, I work across AWS, Databricks, Python, PySpark, ETL/ELT, Redshift, and Data Warehousing to build cloud-native pipelines that improve performance, reduce cost, and support real-time decision-making.My journey into data engineering began when I was assigned to an airline migration project facing constant delays due to slow queries and legacy systems. I redesigned their pipeline on AWS and Databricks, improving query runtimes by 40% and enabling near real-time analytics—results that directly improved operational efficiency and customer experience.At Accenture, I expanded into the healthcare domain, working on secure, compliant data workflows that improved data quality, reporting accuracy, and overall system reliability. This experience strengthened my ability to build solutions that meet both technical and regulatory standards.I’ve since delivered similar impact across healthcare, e-commerce, and operations by simplifying workflows, optimizing data models, and automating pipelines end-to-end.I add value by translating business needs into scalable architecture, mentoring engineers, and building systems that teams can trust. My focus remains simple: clean data, fast pipelines, and practical solutions that last.I’m open to relocation and always happy to connect with teams building modern, cloud-based data platforms.Feel free to reach out if you’d like to collaborate or discuss data engineering opportunities.
Experience
Module Lead
Jun 2022 — Present · Noida, IN
Lead a team of data engineers to deliver high-impact cloud data solutions for enterprise clients using Databricks and AWS- Designed and implemented ELT pipelines, optimizing query performance and reducing data processing costs by 30%- Migrated legacy ETL workflows to modern cloud-based architectures, ensuring minimal downtime and data integrity- Collaborated with cross-functional teams to deliver actionable business insights and support data-driven decision making.
Education
Uttar Pradesh Technical University
Bachelor’s Degree, Computer Science
2009 — 2013
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