SYED HASSAN FAWAD
Woodbridge,VA
Summary
Data Engineer with 4+ years of experience designing, building, and supporting enterprise-scale data platforms on Microsoft Azure. Expertise in Azure Data Factory, Azure Databricks, PySpark, Apache Spark, SQL, and ADLS Gen2 to develop scalable ETL/ELT pipelines, cloud migrations, and high-performance data solutions. Experienced in production support, performance optimization, automation, and delivering reliable, AI-ready datasets for analytics, machine learning, and Generative AI. Strong background in data warehousing, Medallion architecture, data quality, governance, and cross-functional collaboration.
Overview
1
1
Certification
4
4
years of professional experience
Work History
Data Engineer
Cognizant Technology Solutions
08.2022 - Current
- Designed, developed, and maintained scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, PySpark, and SQL for enterprise healthcare and retail data platforms.
- Built and supported 35+ Azure Data Factory (ADF) pipelines processing approximately 2 TB (15+ million records) of enterprise data daily, ensuring reliable and scalable data delivery.
- Engineered cloud-native ingestion, transformation, and processing workflows supporting large-scale analytics and reporting.
- Optimized Spark jobs, SQL transformations, and ETL workflows, improving execution performance and resource utilization.
- Reduced ETL runtime by 30% by optimizing PySpark transformations, SQL queries, and Spark execution plans, improving overall pipeline performance.
- Automated operational tasks using Python and Shell scripting, reducing manual effort and improving support efficiency.
- Automated repetitive operational processes, saving approximately 10 hours per week.
- Monitored production pipelines, investigated incidents through root-cause analysis, and consistently maintained SLA compliance.
- Performed data validation, reconciliation, and quality assurance to ensure accurate, governed, and reliable enterprise datasets.
- Collaborated with business analysts, software engineers, and infrastructure teams to deliver production-ready data solutions.
- Supported Azure cloud migration initiatives by modernizing legacy ETL workflows.
- Built and maintained AI-ready datasets for analytics, machine learning, and Generative AI use cases.
- Maintained 99% production pipeline availability while supporting mission-critical workloads.
Education
Bachelor of Science - Information Technology
George Mason University
Fairfax, VA05-2022
Skills
Languages: Python, Pyspark, SQL, Scala, Shell Scripting
Cloud: Microsoft Azure, Azure Data Factory (ADF), Azure Databricks, ADLS Gen2
Big Data: Apache Spark, PySpark, Delta Lake, ETL/ELT, Data Pipelines
Databases: SQL Server, Oracle, Teradata, MySQL, MongoDB
Concepts: Data Warehousing, Medallion Architecture (Bronze/Silver/Gold), Batch Processing, Data Migration, AI-ready Data Pipelines, Data Quality, CI/CD, Git, Azure DevOps, Data governance
Tools: Jira, SSMS, Oracle SQL Developer, Linux/Unix
Certification
Microsoft Certified: Azure Data Fundamentals, DP-900
Timeline
Data Engineer
Cognizant Technology Solutions
08.2022 - Current
Bachelor of Science - Information Technology
George Mason University