Iftikhar Hussain
@iftikharhussain2
Principal Data Engineer specializing in scalable ETL, streaming, and cloud data platforms.
What I'm looking for
I am a Principal Data Engineer with over 8 years of experience designing, building, and optimizing data platforms, data warehouses, and ETL pipelines for global organizations.
I have led large-scale data integration and warehousing projects using Apache Kafka, Apache Nifi, Spark, Airflow, ELK Stack, Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure), delivering measurable performance improvements.
My work emphasizes Python-based automation and real-time streaming pipelines, including developing containerized data pipelines and robust streaming platforms that reduced processing time and increased pipeline efficiency.
I am experienced in mentoring cross-functional teams, driving data-driven decision-making, and building scalable architectures that support analytics across multiple business units.
Experience
Work history, roles, and key accomplishments
Principal Data Engineer
GSK
Aug 2024 - Present (1 year 4 months)
Spearheaded development and maintenance of ETL pipelines and a centralized data warehouse, engineered containerized data pipelines reducing processing time by 40% and designed scalable data architecture supporting real-time analytics across 10+ business units.
Senior Data Engineer
GSK
Oct 2022 - Aug 2024 (1 year 10 months)
Built ETL pipelines ingesting JSON/CSV/XML and transformed 100+ TB into Parquet; developed multi-layer data architecture on AWS improving query performance by 30% and integrated datasets into Redshift for real-time BI.
Senior Data Engineer
BridgeLinx Technologies
Mar 2022 - Sep 2022 (6 months)
Built a data warehouse in AWS Redshift consolidating 10+ heterogeneous sources and developed Python microservices for automated data ingestion and transformation, increasing pipeline efficiency and reducing manual intervention.
Senior Data Engineer
TechnoGenics SMC Pvt Ltd
Feb 2021 - Mar 2022 (1 year 1 month)
Designed and maintained large-scale ETL pipelines and data warehouses, improving data processing speed by 30% and supporting 5+ TB daily ingestion using Python, Kafka, Elasticsearch, FluentD and GKE.
Software Engineer
Ebryx Pvt. Ltd
Jul 2018 - Feb 2021 (2 years 7 months)
Developed Python automation scripts, ETL pipelines and Django webapps; built a self-healing monitoring framework for ~90 servers and automated ML-based phishing detection pipelines, increasing detection throughput by 50%.
Education
Degrees, certifications, and relevant coursework
FAST National University of Computer and Emerging Sciences
Bachelor of Science, Computer Science
Grade: Gold Medal (academic distinction)
Completed a Bachelor of Science in Computer Science, graduating in June 2018 with recognized academic distinction.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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