Adam Hatim
Dallas,TX
Summary
Senior Data Engineer with 10+ years of experience designing and delivering scalable data platforms across cloud and hybrid environments. Deep expertise in building modern data architectures using Databricks, Apache Spark, and Delta Lake on Azure and AWS. Proven ability to modernize legacy data ecosystems, develop high-performance ETL/ELT pipelines, and support enterprise analytics at scale. Strong background in dimensional modeling, data architecture, and optimizing platforms for business intelligence (BI) and real-time analytics. Experienced leading cloud migration initiatives and implementing DataOps and CI/CD practices to improve reliability, deployment speed, and overall data platform performance.
Overview
11
11
years of professional experience
2
2
Certifications
Work History
Senior Data Engineer
Maximus
Reston, Virginia
10.2020 - 02.2026
- Architect and develop scalable ETL/ELT pipelines using Azure Databricks, Delta Lake, Python, and Spark SQL processing multi-terabyte datasets supporting enterprise analytics.
- Design and implement dimensional data models and lakehouse architecture to power enterprise reporting, machine learning, and advanced analytics workloads.
- Build and orchestrate end-to-end data workflows using Azure Data Factory and Apache Airflow across multiple cloud environments.
- Lead cloud modernization initiatives, migrating legacy on-prem data warehouse workloads to Azure and AWS data platforms.
- Implement real-time streaming pipelines using AWS MSK (Kafka) to support near real-time analytics and operational reporting.
- Develop automated data quality and validation frameworks across Oracle, SQL Server, Hive, and MongoDB environments to ensure data reliability.
- Optimize Spark workloads through partitioning, caching, and cluster tuning, reducing pipeline runtime by 30-40%.
- Implement CI/CD pipelines using Azure DevOps, Terraform, and Docker to automate deployment of data pipelines and infrastructure.
- Establish data governance, lineage, and monitoring standards improving observability and operational reliability of enterprise data platforms.
- Created ETL scripts to move and transform data from various sources into a centralized repository.
- Optimized existing queries in order to improve query performance and reduce the load on the server.
- Managed security protocols and access control policies within the organization's databases and systems.
Azure Data Engineer
System Soft Solutions
Tampa, Florida
05.2018 - 09.2020
- Designed and implemented enterprise-scale ETL pipelines using Azure Databricks, Delta Lake, Azure Data Factory, and Azure SQL Database.
- Re-engineered legacy SSIS pipelines into distributed Spark workflows running on AWS EMR, improving scalability and performance.
- Built data lake ingestion frameworks to integrate structured and semi-structured data from APIs, relational databases, and flat files.
- Automated orchestration of data pipelines using Apache Airflow, improving reliability and monitoring of production workflows.
- Developed dimensional data models aligned with business intelligence and reporting requirements.
- Implemented data validation and reconciliation processes, ensuring consistency across enterprise data sources.
- Optimized SQL queries and Spark workloads to reduce processing time and infrastructure costs.
- Developed dashboards and analytics solutions using Power BI, Tableau, and OBIEE.
- Developed and implemented data models, database designs, data access and table maintenance codes.
- Collaborated with cross-functional teams to define data requirements and solutions.
Data Engineer / ETL Developer
Humana
Chicago, Illinois
01.2016 - 04.2018
- Built and maintained large-scale data pipelines using Spark, Sqoop, Informatica BDM, and AWS services including Redshift, EMR, Glue, and S3.
- Architected Hadoop-based data lake environments using Cloudera to support enterprise analytics workloads.
- Developed parameterized ETL frameworks supporting SCD Type 1 and Type 2 data modeling strategies.
- Optimized Hive queries and MapReduce jobs to improve large-scale data processing performance.
- Automated data ingestion workflows using shell scripting and scheduled batch processing.
- Configured and maintained AWS infrastructure, including EC2 instances, S3 storage, and Linux environments.
- Developed analytics dashboards using AWS QuickSight to support reporting teams.
- Conducted rigorous testing and validation of data pipelines to ensure accuracy and completeness of data.
- Developed and deployed machine learning models for predictive analytics, utilizing Spark and TensorFlow.
Azure Data Engineer / BI Developer
Trinity Health
Chicago, Illinois
09.2014 - 11.2015
- Developed ETL pipelines integrating data from SFTP, Teradata, JDBC databases, and REST APIs.
- Designed and maintained Apache Airflow workflows to orchestrate enterprise data pipelines.
- Built reporting and analytics solutions using Oracle databases and Unix-based systems.
- Implemented Azure Data Factory pipelines to automate data ingestion and transformation.
- Leveraged Azure Data Lake Storage and Blob Storage to support scalable enterprise data storage.
- Developed Power BI dashboards and reports supporting operational and executive analytics.
- Created stored procedures for automating periodic tasks in SQL Server.
- Developed Python scripts for extracting data from web services API's and loading into databases.
Education
Bachelor of Science - Computer Information Systems
Northern Illinois University
Dekalb, IL12-2018
Skills
- Microsoft Azure services
- Amazon Web Services (AWS)
- Data lake and storage solutions
- Data integration and modeling
- Cloud computing platforms
- Distributed data processing
- ETL and ELT design
- Data pipeline development
- Data warehousing strategies
- Real-time data processing
- Batch processing techniques
- Workflow automation tools
- Infrastructure as code practices
- Version control systems
- Container orchestration technologies
- Data visualization tools
Certification
AWS Certified Data Engineer - Associate
Timeline
Senior Data Engineer
Maximus
10.2020 - 02.2026
Azure Data Engineer
System Soft Solutions
05.2018 - 09.2020
Data Engineer / ETL Developer
Humana
01.2016 - 04.2018
Azure Data Engineer / BI Developer
Trinity Health
09.2014 - 11.2015
Bachelor of Science - Computer Information Systems
Northern Illinois University