Thomas George Thomas Email & Phone Number

Boston, Ma, Us

Cambridge, Ma, Us

• Modeled Chemoinformatic and Life sciences data sets and integrated data flows into a scalable data mesh using SQL and dbt Athena• Spearheaded the implementation of dbt infrastructure for enterprise-wide analytics • Orchestrated and designed CICD workflows for dbt models using GitHub Actions• Architected AWS frameworks capable of processing billions of records with Python and Step Functions, SQS, Batch, Glue, Docker• Transformed manual workflows into automated data pipelines following Event-Driven Architecture using AWS Lambda, EMR, SNS, S3• Developed ML and data pipelines using AWS EMR and Batch

Boston, Ma, Us

Worked as a Data Engineer and Data Analyst in The Automation of the Built and Living Environment (ABLE) Laboratory.• Engineered high-availability data streaming analytics platform, ensuring a 98% real-time uptime for 20 smart homes using Python• Built an energy dashboard visualizing Key Performance Indicators (KPIs) and metrics using SQL, MariaDB, and Jupyter Notebooks• Applied SQL query optimization and software engineering best practices, leading to a 60% reduction in SQL query response times• Performed in-depth Exploratory Data Analysis (EDA) to unveil patterns and trends to support data-driven decision-making processes

Cambridge, Ma, Us

Montai is focused on accelerating the discovery and development of safer and more tolerable medicines to help treat the 2 billion people with chronic diseases today.• Established collected, cleaned, and aggregated health, food, drug, biotech, and bioinformatics Data Lake on AWS of 100 TB of data• Developed ETL (Extract, Transform, Load) pipelines using AWS Glue, Redshift, S3, PySpark, Lambda, and SQS to process 100 TB• Implemented Test Automation by test-driven development (TDD) GitHub actions workflows, improving existing code quality by 100%• Performed data integration of 5 GB/day from disparate data sources, APIs, and file formats (XML, CSV, JSON, Parquet, Avro, ORC)• Translated business objectives and Key Results (OKRs) into technical specifications, design documentation, and optimal solutions• Engineered Python-based web scrapers to collect, integrate, and parse 10 GB from APIs, boosting data collection efficiency.

Indianapolis, Indiana, Us

Legato Health Technologies (Currently Carelon Global Solutions) is a global in-house center for Elevance Health (Formerly Anthem Inc), Fortune 33, and the 2nd largest healthcare and Insurance provider in the US.• Constructed and led scalable ETL/ELT data pipelines for 5 US healthcare initiatives across Anthem and Blue Cross Blue Shield• Optimized large-scale data transformations in AWS Cloud using EMR, EC2, Athena, CloudWatch, Step Functions, cutting costs by 30%• Automated data quality framework in Spark Scala for Hive and SQL Server, cutting errors, resulting in $7000 quarterly cost savings• Built extensible data architecture with 10 Snowflake data marts and data models, improving Business Intelligence (BI) metrics by 20%• Mentored and led a team of 4 new graduates in a training program focused on Big Data and DevOps tools (Jira, Bitbucket, Bamboo)• Orchestrated code migration, continuous integration, and continuous deployment (CI/CD), reducing deployment time by 25%• Unified Agile Scrum with unit testing, system integration testing, and code reviews, slashing post-deployment defects by 18%• Enabled the migration of 112 TB of data from on-premises distributed computing Hadoop clusters to AWS Cloud and Snowflake• Performed massive parallel processing (MPP) and large-scale data transformations on cloud and on-premises data warehouses• Built large-scale applications and data structures for data ingestion from Neo4j, MongoDB (Graph, NoSQL OLTP) databases in Airflow• Integrated 2 ML pipelines with Continuous Improvement/Learning and automated deployments using Apache Airflow and Docker

Muscat, Om

Middle East Management Consultancy and Marketing is an independent business solution and consulting firm based in Muscat, Oman.• Created high-volume robust data infrastructure on distributed computing on-premises Hadoop clusters capable of handling 15 TB• Designed interactive Tableau Dashboards to derive meaningful insights, leading to a 12% increase in pharmaceutical finance sales• Developed 10 end-to-end high-volume, multi-layer data processing pipelines from ingestion layers to the serving and reporting layers• Ingested 26 TB from Relational databases (MySQL, Oracle, PostgreSQL) RDBMS via Sqoop and Shell scripts, enhancing data access• Improved enterprise data warehouse (EDW) scalability using facts and dimensions data modeling (Star Schema, SCD) by 20%• Established DataOps for version control with git, data cleaning, data management, governance, and data lineage tracking for datasets• Maintained integrity and compliance with clean data sets for 4 projects, contributing to a 15% improvement in accuracy and reliability• Collaborated with cross-functional teams, managed stakeholders, and gathered requirements for streamlined project communication• Implemented join optimization, data partitioning, and performance tuning, achieving a 40% improvement in Apache Spark jobs• Redesigned Data Lake to use Parquet and Snappy compression to cut 30% storage and compute costs• Performed Partitioning, Bucketing, Join optimizations, and Compression in Hive

Master'S Degree, Data Analytics Engineering

Bachelor Of Technology (B.Tech.), Computer Science And Engineering

Education record