AWS Data Engineer Resume Example

Senior AWS Data Engineer · HealthBridge Analytics

Austin, TX · 2024 - Present

• Architected a serverless data lakehouse that processes 2TB of patient telemetry data daily using AWS Glue and Athena
• Reduced query processing latency by 60 percent for clinical dashboards through optimized Parquet partitioning and indexing
• Led the implementation of AWS Lake Formation, achieving 100 percent compliance with HIPAA data governance standards
• Automated infrastructure deployments using Terraform, decreasing environment setup time from three days to four hours
• Managed a monthly cloud budget of 50k dollars, identifying and eliminating inefficient idle resources to save 12k dollars per month

Data Engineer · BioCore Research

Houston, TX · 2021 - 2024

• Built scalable ETL pipelines using AWS EMR and Spark to ingest massive genomic sequencing files from remote research clinics
• Implemented real time data ingestion via Amazon Kinesis, enabling researchers to visualize experimental outcomes within seconds
• Migrated legacy on premise SQL databases to Amazon Redshift, resulting in a 45 percent improvement in aggregate query performance

Bachelor of Science in Computer Science · University of Texas at Austin

Austin, TX · 2017 - 2021

• Graduated Magna Cum Laude with a 3.8 GPA
• Completed thesis on Optimizing Query Latency in Distributed Genomic Databases
• Relevant Coursework: Database Management Systems, Cloud Computing Architecture, Data Structures

AWS Data Engineer · Stellar Logistics

Austin, TX · 2023 - Present

• Orchestrated the migration of 50TB of legacy warehouse data to an AWS S3 based data lake, reducing storage costs by 40 percent.
• Developed and maintained 15 plus production grade AWS Glue ETL jobs, improving data processing speed by 35 percent through optimized partitioning.
• Implemented automated data quality checks using AWS Deequ, identifying and flagging 99.9 percent of erroneous data entries before downstream ingestion.
• Mentored a team of 3 junior analysts on SQL optimization and cloud storage best practices, resulting in a 20 percent increase in team sprint velocity.

Junior Data Engineer · Retail Analytics Inc

Dallas, TX · 2021 - 2023

• Automated daily reporting pipelines using Amazon Redshift and Airflow, saving the operations team 12 hours of manual work per week.
• Reduced cloud infrastructure latency by 25 percent by refactoring inefficient Python scripts and optimizing Redshift distribution keys.
• Coordinated with cross functional teams to define data schemas for a new customer loyalty program, supporting over 200,000 active users.
• Managed AWS Identity and Access Management roles to ensure strict data security protocols, achieving zero security audit findings.

Systems Analyst · Global Financial Services

Dallas, TX · 2020 - 2021

• Streamlined legacy business processes by mapping workflow gaps, resulting in a 15 percent increase in overall department operational efficiency.
• Transformed complex manual Excel reporting into automated SQL queries, ensuring data consistency across 5 distinct business units.
• Collaborated with IT departments to bridge technical requirements and business outcomes, which served as the catalyst for my transition into data engineering.

Bachelor of Science in Information Systems · University of Texas at Austin

Austin, TX · 2015 - 2019

• Graduated with a 3.8 GPA and Honors in Information Systems.
• Completed a senior thesis on predictive modeling for supply chain efficiency in urban logistics.
• Relevant coursework included Advanced Database Management, Cloud Computing Architectures, and Applied Statistics.