Shahbaz Haider
@shahbazhaider
I build resilient cloud data pipelines, warehouses, and real-time streaming systems.
What I'm looking for
At ADLAB Solutions, I design and orchestrate scalable ELT pipelines using Python, SQL, Control-M, S3, and Snowflake. I've delivered checkpoint-based ingestion that was 4x faster, bulk loading that cut load times by 5x, and redesigned ETL processing to reduce runtime by 60%.
I've also built real-time Kafka and Spark Structured Streaming pipelines, star-schema warehouses, and automated data validation across medallion architectures. As a Microsoft Fabric Data Engineer Associate certified data engineer, I work across Snowflake, Databricks, AWS, and modern lakehouse platforms.
Experience
Work history, roles, and key accomplishments
Data Engineer
ADLAB Solutions
Nov 2025 - Present (9 months)
Designed a checkpoint-based full-load ingestion pipeline achieving 4x faster ingestion, implemented bulk insertion for S3-to-Snowflake loading with 5x faster load times, and reduced ETL processing time by 60% through threading and window-based ingestion. Built resilient pipelines from APIs, SFTP, Dropbox, and Excel, and managed scalable ELT cloud pipelines using Python, SQL, and Control-M.
Education
Degrees, certifications, and relevant coursework
FAST-NUCES
Bachelor of Science, Data Science
2021 - 2025
Bachelor of Science in Data Science from FAST-NUCES, Islamabad, from 2021 to 2025.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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