Sulaiman Ahmed

About Sulaiman Ahmed

I am a data engineering professional focused on building scalable data pipelines, data quality validation, and analytics solutions using Databricks, Delta Lake, SQL, and Power BI. I recently completed the Databricks Fundamentals certification and built a CO2 emissions lakehouse pipeline using public EPA data.I have a background in delivering data intake automation and reporting tools for federal programs, including reducing QA email volume by 98% with a SharePoint ticketing system and developing multiple internal Power BI dashboards for data traceability and request tracking.I\'m looking for opportunities in-Data engineering (Databricks, Delta Lake, ETL/ELT)-Data Quality and Validation (federal / healthcare datasets)-Cloud Data Analytics (AWS, GCP, Power BI)

Experience

1. Databricks Engineer

   RELI Group, Inc.

   Feb 2025 — Present

   Designed and implemented Databricks Lakehouse data pipelines using Apache Spark, SQL, and PySpark, ingesting and transforming 100k+ records into curated Delta tables following Medallion architecture for downstream analytics consumption.Built scalable Bronze → Silver → Gold pipelines implementing schema validation, data orchestration, transformation logic, and metadata-driven ingestion supporting operational analytics and GenAI retrieval workflows.Implemented incremental and metadata-driven ingestion pipelines capturing standardized operational inputs, reducing lost requests by 98% and improving response time by 95% through automated processing workflows.Developed SQL-based data validation frameworks, including schema enforcement, deduplication logic, and anomaly detection across 100k+ records to ensure reliability of downstream datasets.Modeled curated analytics-ready Delta tables and standardized data definitions supporting reporting and KPI tracking across three SaaS platforms.Built automated monitoring dashboards using curated Databricks datasets and Power BI, replacing manual reporting workflows and reducing leadership review meetings by 75%.Optimized SQL transformations and Databricks pipeline execution logic to improve data processing efficiency across operational datasets.Maintained Databricks notebooks and pipeline code in GitHub, supporting version control and CI/CD deployment workflows.

Education

• University of Maryland Global Campus

  Bachelor's degree, Computer Science

• University of Maryland Global Campus

  Bachelor of Science, Computer Science

• Montgomery College

  Associate of Arts and Sciences (A.A.S.), General Studies

• Paint Branch

  High School Diploma, Information Technology