Abdul Bazid
@abdulbazid
I build reliable AWS data pipelines and warehouses that make large-scale data usable.
IndiaWhat I'm looking for
At RedDoorz, I build event-driven AWS ingestion pipelines that process 860 GB per day across 10+ edge devices, using S3, SQS, Lambda, AWS Batch, Python, and Boto3.
I've consolidated data from 6+ external sources and 4,600+ properties into Snowflake, delivering 50K+ records daily through tested Meltano, Python, and Airflow workflows with 99%+ uptime.
I design warehouse models, SCD Type-2 snapshots, and automated validation for Snowflake, PostgreSQL, and MySQL. My work includes 440+ dbt models, 110+ snapshots, and 1,500+ data-quality tests while keeping cloud spend flat through 200%+ data growth.
I also operate Airflow on Amazon EKS and partnered with analysts and data scientists to ship a Superset BI layer for 100+ users, reducing ad-hoc requests by 80%. I bring the same focus on idempotency, testing, and streaming systems to projects built with PySpark, Kafka, Delta Lake, and Docker.
Experience
Work history, roles, and key accomplishments
Data Engineer
RedDoorz
Aug 2024 - Present (2 years 1 month)
Built event-driven ingestion pipelines on AWS and engineered batch ELT with Meltano and custom Python ETL. Designed and optimized a Snowflake/PostgreSQL/MySQL warehouse with dbt models and SCD Type-2 snapshots.
Education
Degrees, certifications, and relevant coursework
JSS Academy of Technical Education
Bachelor of Technology, Information Technology
2020 - 2024
Grade: 7.89/10
Bachelor of Technology in Information Technology with a CGPA of 7.89/10.
Availability
Location
IndiaAuthorized to work in
Salary expectations
Job categories
Skills
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