Shahid Shah
@shahidshah1
Senior Data Engineer & Cloud Architect focused on scalable, multi-cloud data platforms.
United StatesWhat I'm looking for
I am a Senior Data Engineering and Cloud Architect with 10+ years designing and delivering enterprise-grade, multi-cloud data platforms across AWS, Azure, and GCP. I specialize in big data processing, scalable ETL/ELT pipelines, and Lakehouse architectures using Databricks, Delta Lake, Spark, and streaming technologies.
I have led end-to-end migrations of legacy warehouses to cloud-native architectures, operationalized ML models with MLflow, and implemented governance and MDM practices to ensure data quality, compliance, and scalability. I also drive CI/CD for data, cost and performance optimizations, and mentor engineering teams on best practices.
I partner with product and business stakeholders to translate requirements into technical roadmaps and actionable analytics ecosystems using Snowflake, Redshift, BigQuery and BI tools like Power BI, Tableau, and Looker to deliver impactful insights.
Experience
Work history, roles, and key accomplishments
DAArchitected and deployed enterprise-grade Lakehouse solutions and multi-cloud data platforms, leading migrations from legacy warehouses and delivering high-throughput ETL for batch and streaming workloads.
AMDesigned scalable data models and event-level ETL pipelines to support product analytics, improved Snowflake performance, and delivered dashboards and CDP integrations for real-time insights.
Data Engineer
phData
Feb 2015 - Jun 2019 (4 years 4 months)
Engineered high-performance data pipelines with Spark, Kafka, and Airflow on AWS, delivered production-ready datasets to Snowflake/Redshift, and implemented automated data quality and CI/CD.
Education
Degrees, certifications, and relevant coursework
NTNational University of Sciences & Technology
Bachelor of Computer Science, Computer Science
2010 - 2014
Completed a Bachelor of Computer Science focusing on core computer science principles and practical software and data engineering skills.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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