Indir Lal
@indirlal
Data Engineer building scalable Python ETL/ELT pipelines and reliable BigQuery warehouses.
PakistanWhat I'm looking for
I’m a Computer Science graduate and Data Engineer focused on building production-grade ETL/ELT pipelines in Python at scale. In my current role, I engineered fault-tolerant pipelines ingesting 500M+ raw records into a 60M+ row BigQuery warehouse, with strong emphasis on advanced SQL, data quality/validation, and pipeline reliability across GCP and Azure.
I enjoy shipping well-documented data systems end-to-end—from matching engines and deduplication to observability and audit logging. I’ve also delivered ETL/ELT work for international clients, diagnosing pipeline failures and standardizing large datasets while restoring data integrity, and I’m now seeking a Data Engineering internship to ship reliable, well-documented data systems with cross-functional teams.
Experience
Work history, roles, and key accomplishments
Data Engineer Intern
Noble Ventures Data Inc
Jun 2026 - Present (0 months)
Engineered fault-tolerant Python ELT pipelines ingesting 500M+ raw firmographic records into a 60M+ row BigQuery data warehouse. Built multi-phase SQL matching engines with retry/backoff and deduplication, and shipped a FastAPI microservice over BigQuery with validation and audit logging.
Freelance Data Engineer
Fiverr
Dec 2023 - Present (2 years 6 months)
Delivered Python and SQL ETL/ELT pipelines for international clients, transforming messy multi-source MySQL/PostgreSQL data into clean, validated warehouse models. Diagnosed and resolved production pipeline failures while standardizing a 400M+ row dataset, earning Level 1 Seller status for reliable delivery.
Education
Degrees, certifications, and relevant coursework
Sukkur IBA University
Bachelor of Science, Computer Science
Activities and societies: Selected for the Sindh Talent Hunt Program Scholarship among the top 100 of 5,000 applicants.
B.S. in Computer Science at Sukkur IBA University. Coursework includes DBMS, Data Structures & Algorithms, Probability & Statistics, AI, and OOP.
Tech stack
Software and tools used professionally
Availability
Location
PakistanAuthorized to work in
Job categories
Skills
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