• Led the design and implementation of scalable data architectures, developing ETL/ELT solutions and comprehensive data infrastructure using PostgreSQL, BigQuery, Oracle,Teradata, and Apache Hadoop, significantly improving data accessibility and supporting data-driven decision-making.• Collaborated with Data Architects, Data Scientists, and Business Analysts to implement scalable ETL/ELT solutions using Agile or Scrum methods with Apigee and Postman,optimizing data performance and aligning with enterprise strategies, achieving a data retrieval time of under 200 ms.• Built and maintained data infrastructure, integrating Google Cloud Storage, which reduced data retrieval times to under 5 seconds, and accelerated analytics projects, ensuringcompliance and enhancing system efficiency by 20% with predictive analysis and real-time data processing using Apache Kafka and Google Pub/Sub.• Developed analytical tools and interfaces using Python and Flask, applying REST APIs and scalable architecture to improve data analysis efficiency by 30%, and directed R&Dinitiatives to incorporate real-time data processing techniques, AWS integration with GCP, and Docker for innovative data modeling and extraction.• Guided a team of Engineers to align with best practices for ETL/ELT development and data infrastructure management, presented data engineering solutions to stakeholdersusing storytelling techniques to ensure understanding and alignment across the organization.

• Orchestrated the migration of legacy ETL pipelines to Google Cloud Platform using BigQuery and Dataflow, optimized data warehousing, and implemented real-time streamingsolutions with Pub/Sub and Apache Beam, improving delivery times by 60% and reducing data transfer costs by 30%.• Engineered scalable REST APIs with Flask incorporating asynchronous programming, and built and supervised dynamic ETL pipelines with Apache Airflow, improving errorhandling and increasing pipeline visibility by 30%.• Improved infrastructure using Terraform, streamlined GCP management, and established a data governance framework with compliance protocols like GDPR and HIPAA,reducing deployment times by 60% and training junior engineers in Python and data engineering

• Optimized data warehouse workflows in Teradata, improving query performance and data accessibility by integrating MultiLoad and FastLoad, and developed ETL pipelinesintegrating Apache Hadoop, Python, and SAS to reduce data retrieval times.• Integrated siloed data from various systems into a centralized solution with Teradata Data Warehouse, facilitating actuarial analysis and end-user reporting, enhancing dataanalysis quality.• Created and led a training program for new analysts and engineers on ETL Best Practices and workflow automation with Bash Scripting, cutting onboarding time by 10 days.

• Managed business intelligence platforms on Windows Server and Linux, automated tasks with Bash scripts reducing administrative overhead by 20%, and developed datamodels to support business decision-making.

Administrator BI corporate reporting tools including IBM Cognos and SAP Business Objects.

• Supervise team of 5-7 laborers while serving clients• Train new employees to perform essential functions for business• Prepare invoices on Excel for new and existing cliental• Maintain inventory supplies and order when necessary• Ability to troubleshoot issues that arise during work day

• Provided the required reports for necessary incidents• Monitored premises through CCTV system• Worked in high pressure situations in a professional manner

• Managed inventory brought in by trucks• Achieved large goals daily within a short time frame• Troubleshoot problems fast to keep work flowing