Seeking a challenging Data Engineer position to leverage my extensive experience in cloud-based data architectures, ETL/ELT pipeline development, and advanced analytics. Aiming to contribute my expertise in AWS technologies, Python/PySpark development, and data governance to drive data-driven decision making and deliver high-impact solutions for complex business problems.
Overview
20
20
years of professional experience
1
1
Certification
Work History
Data Engineer
Amazon Robotics
05.2021 - Current
Designed and implemented large-scale data solutions for Amazon Global Logistics and Inventory Tracking System
Built optimized ETL pipelines using PySpark on AWS Glue and managed orchestration with Airflow and Step Functions
Developed serverless data processing with AWS Lambda and event-driven systems via EventBridge
Implemented Apache Iceberg for advanced data lake capabilities and leveraged Athena for analytics
Automated infrastructure using AWS CDK (TypeScript) and set up CI/CD with GitHub Actions
Created centralized monitoring, alerting (Slack), and logging frameworks using CloudWatch
Ensured secure data sharing and governance with AWS Lake Formation
Collaborated cross-functionally, provided technical mentorship, and followed Agile practices
Authored technical documentation, runbooks, and led incident response planning
Lead BI Architect
HMS Eliza
10.2014 - 05.2021
Automated multi-region infrastructure with CloudFormation, Terraform, and Ansible
Built Jenkins pipelines for Data Lake and BI deployments
Migrated SQL Server databases to Amazon Redshift
Developed NiFi templates and Python scripts for real-time ingestion and data migration
Created ETL jobs with PySpark (AWS Glue) and Talend for Redshift loading
Built SSAS cubes and SSIS packages for BI processing
Designed Tableau dashboards for healthcare analytics (Medicare/Medicaid focus)
Developed secure RESTful APIs in C# for data access
Business Data Analyst
Eliza Corporation
09.2012 - 09.2014
Designed and implemented SSIS packages for automated data ingestion into calling engine system
Developed data extraction and transformation workflows for call results reporting
Created optimized SQL queries for data cleansing and quality assurance
Led comprehensive data mapping and analysis of complex speech application systems
Implemented data governance frameworks ensuring data quality and consistency
Conducted thorough data interpretation and pattern analysis for speech recognition systems
Performed systematic code reviews and technical walk-throughs with development team
Established best practices for ETL development and data quality standards
Documented technical specifications and data mapping requirements
Tech Stack: SQL Server 2008, SSIS (SQL Server Integration Services), SQL Server 2008 R2, SQL Server 2005
Data Warehouse Architect & Technical Lead
Bitwise Solutions/Bitwise Inc.
06.2005 - 04.2012
Led end-to-end data warehouse initiatives across multiple projects, specializing in ETL development, data modeling, and business intelligence solutions
Expertise spans Ab Initio, DataStage, SSIS, Teradata, and various BI tools
Architected and implemented enterprise data warehouse solutions including Enterprise Data Store and Data Marts, focusing on extensible and generic ETL approaches
Designed and developed comprehensive data quality framework, implementing balance and control checks for ETL processes
Led migration initiatives including automated tool development for DataStage to SSIS and Ab Initio to expressor transitions
Coordinated offshore-onsite delivery model, ensuring seamless project execution and knowledge transfer
Developed complex ETL solutions using Ab Initio, DataStage, and SSIS, optimizing data loads for Teradata and Oracle
Created and maintained OLAP solutions using Cognos and SSAS cubes for business analytics
Implemented BI reporting solutions using Business Objects, Crystal Reports, and Cognos
Automated scheduling solutions using JS Console for regular data quality checks and ETL processes
Managed requirements gathering, data profiling, and data modeling activities
Created technical documentation including design documents, data dictionaries, and mapping rules
Conducted peer code reviews and established best practices for ETL development
Administered BI platforms including user access management and issue resolution
Tech Stack: Ab Initio, DataStage, SSIS, Teradata, Oracle, Unix/AIX, Cognos, Business Objects, Crystal Reports, SSAS, JS Console Scheduler, Perl