Imad Syed

About Imad Syed

I am a dedicated Data Engineer with a passion for designing and optimizing data pipelines to drive actionable insights. With a strong foundation in programming languages such as SQL, Python, Java, and JavaScript, coupled with extensive experience in working with databases and engineering tools like Snowflake, SQL SERVER, Oracle, DBT, Azure Data Factory, Tableau, and PowerBI, I am committed to delivering efficient and scalable solutions. My expertise extends to various Big Data Technologies including AWS and Azure services, enabling me to build robust data ecosystems. Beyond technical skills, I excel in mentoring, requirement gathering, and promoting automation to streamline data processes.Additionally, I\'m the proud founder of Datartic.com, a platform dedicated to sharing insights and resources about the ever-evolving field of data engineering. Through Datartic.com, I aim to contribute to the data engineering community by providing articles, tutorials, and insights that help professionals and enthusiasts stay updated with the latest trends and best practices in the realm of data engineering.

Experience

1. Data Engineer

   Egen

   Sep 2025 — Present

   Client: State of UtahDomain: Public SectorTech Stack:Google Cloud: BigQuery, Cloud Run, Cloud Build, GCS, Cloud SchedulerProgramming: SQL, PythonData Visualization: Looker StudioResponsibilities & AchievementsMigrated Salesforce data into a centralized BigQuery data warehouse, building scalable batch pipelines with scheduling, logging, and monitoring, reducing manual reporting efforts by 40% and improving data accessibility across 3+ departments.Designed, developed, and optimized end-to-end data processing workflows in BigQuery using advanced SQL, including partitioning and clustering, resulting in 50% faster query performance and improved dashboard responsiveness.Built a robust analytical data model to support Looker Studio dashboards, enabling consistent and reusable reporting across multiple public sector departments.Developed 3 high-impact Looker Studio dashboards to surface data quality issues such as duplicate records and inconsistencies, identifying 40%+ duplicate data and supporting data cleanup and governance initiatives.Consolidated previously inaccessible, department-specific data into centralized dashboards, enabling cross-department analysis of case timelines, complaint patterns, and operational bottlenecks, and cutting report creation time by 60%.

Education

• Osmania University

  Bachelor's degree, Computer Science

• Minnesota State University, Mankato

  Master's degree, Data Science