Data Engineer with 5 years of experience building high-scale, production-grade data solutions across pharma, healthcare, and finance. I specialize in designing ETL/ELT pipelines that process 1.5B+ files, architecting streaming systems, and enabling enterprise-grade analytics platforms.
Beyond engineering, I actively give back to the community β recognized as an AWS Community Builder, having mentored 500+ data engineering students, and serving as Technical Head of the AI Club at NEDUET. I'm also a published researcher in machine learning.
π Industries β Pharmaceuticals Β· Healthcare Β· Finance Β· Capital Markets
βοΈ Cloud β AWS (primary) Β· Azure
β‘ Specialties β Streaming Pipelines Β· Data Warehousing Β· CDC Β· IaC Β· ELT
π Community β AWS Community Builder Β· 500+ Students Mentored
| Role | Company | Industry | Period |
|---|---|---|---|
| Data Engineer | Norstella | Pharma & Healthcare | Apr 2025 β Present |
| Data Engineer | OfficeField | Finance & Capital Markets | Aug 2024 β Apr 2025 |
| Data Engineer | Speedylancer | Data Extraction & Automation | Sep 2022 β Jul 2024 |
| Data Analyst | Dolphin Analytics | Stock Market Analytics | Mar 2021 β Aug 2022 |
π Full experience details on LinkedIn β
Redshift DynamoDB SQS SNS Step Functions ECR API Gateway
ADLS Gen2 Delta Lake Azure Stream Analytics Azure SQL
Finance Β· Streaming Β· AI Integration
End-to-end real-time stock and cryptocurrency analysis platform built from scratch. Designed ETL and streaming pipelines using Kafka and Airflow, and collaborated with AI teams to integrate ML models into live data flows for predictive analytics and market signals.
Kafka Airflow Snowflake Python AWS AI Integration
Healthcare/Finance Β· Snowflake Β· AWS Glue Β· Snowpipe
Designed and implemented a production-grade Snowflake data warehouse transforming raw customer data into analytics-ready datasets with high query performance.
- Ingested raw data into Amazon S3, transformed with AWS Glue PySpark
- Automated real-time ingestion with Snowflake Snowpipe + AWS Lambda triggers
- Delivered a fully centralized customer analytics layer
Snowflake AWS S3 AWS Glue PySpark Snowpipe AWS Lambda
Cloud Β· SageMaker Β· Docker Β· API Gateway
End-to-end marketplace connecting AI model creators with users. Managed the full lifecycle from ideation to deployment.
- Containerized ML model images and deployed on AWS SageMaker via Amazon ECR
- Exposed models through AWS API Gateway + Lambda for seamless API-based access
- Enabled scalable model deployment and monetization for AI creators
AWS SageMaker ECR Docker API Gateway Lambda Python
Open Source Β· ELT Β· dbt Β· Terraform
End-to-end ELT stack loading Netflix titles and credits datasets into Snowflake via S3, then transforming with dbt. Full AWS infrastructure provisioned with Terraform.
- Local CSV β S3 β Snowflake External Stage β
COPY INTOraw tables β dbt models - 4-layer architecture:
RAWβSTAGINGβINTERMEDIATEβMARTS
dbt Snowflake AWS S3 Terraform Python
Analytics Β· AWS Glue Β· Snowflake Β· BI
Orchestrated ETL workflows using AWS Glue and Snowflake to power advanced Olympic sports analytics. Delivered actionable insights that improved BI team decision-making by 40%.
AWS Glue Snowflake SQL Power BI
| Industry | Experience |
|---|---|
| Pharmaceuticals | Clinical trial data pipelines, drug assessment master data, DAF frameworks at Norstella |
| Healthcare | Medical report extraction, healthcare analytics, SCD Type 4 audit lineage |
| Finance & Capital Markets | U.S. equities & crypto pipelines, OMS, real-time trade data at OfficeField |
| Market Intelligence | News classification, financial intelligence data ingestion at Norstella |
- βοΈ AWS Community Builder β Recognized by Amazon Web Services for community contributions in cloud and data engineering
- π¨βπ« Mentor to 500+ Students β Guided data engineering learners across courses, workshops, and 1:1 mentoring
- π€ Technical Head β Artificial Intelligence Club, NEDUET
- π₯ Member β AWS User Group Karachi
| Certificate | Issuer | Status |
|---|---|---|
| AWS Certified Cloud Practitioner | Amazon Web Services | β Certified β Oct 2025 |
| AWS Data Engineering Master Class | Udemy | β Certified Dec 2024 |
| Google Data Analytics Professional Certificate | Coursera | β Certified June 2024 |
| Certified Power BI & Tableau Data Analyst | DataCamp | β Nov 2022 |
"XGBoost and Random Forest Algorithms: An In-Depth Analysis"
Published in the Pakistan Journal of Scientific Research (PJOSR)
β Read the Paper
- π₯ Runner-Up β Envision'22 Data Science Competition, NEDUET (50+ participants)
- π₯ Provincial Winner β National Idea Bank 2023 (2,200+ applicants nationwide)
- π€ Best Presenter β APICEE'23 (Presented to 10+ industry experts & academics)
"Turning raw data into powerful decisions β one pipeline at a time."
