RODOLFOLOPEZ III.

STACK:

Python · Advanced SQL · Linux · AWS · GCP · Snowflake · Databricks · Azure Data Factory · CI/CD · AI. From raw ingestion to production-ready AI and analytics.

About
01

More than an engineer.
A systems thinker.

With 17+ years at the intersection of data engineering and cloud architecture, I specialize in building the systems that companies depend on. Scalable pipelines, high-performance ETL/ELT processes, and enterprise-grade data warehouses that hold up under real load.

I've led migrations off legacy infrastructure onto AWS, Snowflake, and Databricks, writing the Python and SQL that makes it stick. I work equally well hands-on in the codebase and at the whiteboard translating business requirements into technical roadmaps.

My work doesn't stop at delivery. I implement CI/CD workflows, mentor teams, and build for maintainability so the next engineer isn't left cleaning up a mess.

17+
years experience
10 TB+
data processed
50+
pipelines built
99.9%
uptime SLA
Snowflake/Databricks/AWS S3/AWS Glue/AWS Lambda/Azure Data Factory/SQL Server/PostgreSQL/Teradata/Power BI/Snowflake/Databricks/AWS S3/AWS Glue/AWS Lambda/Azure Data Factory/SQL Server/PostgreSQL/Teradata/Power BI/
Python/Advanced SQL/T-SQL/PL/SQL/PowerShell/pandas/Apache Airflow/dbt/ETL/ELT/CI/CD/Python/Advanced SQL/T-SQL/PL/SQL/PowerShell/Go Spurs Go/pandas/Apache Airflow/dbt/ETL/ELT/CI/CD/
Gen AI/Computer Vision/NLP/LangChain/AWS/Linux/SSH/Docker/Git/Streamlit/REST APIs/Row Level Security/Data Modeling/Gen AI/Computer Vision/NLP/LangChain/AWS/Linux/SSH/Docker/Git/Streamlit/REST APIs/Row Level Security/Data Modeling/
How I work
02

The pipeline.
Start to finish.

01
01

Ingest

High-throughput ingestion from APIs, files, and source databases. Schema validation, change data capture, idempotent loads. Pipelines that hold up under bursty traffic and partial failure.

AirflowAWS GluePythonREST APIs
02
02

Transform

Production-grade ELT in the warehouse. Modular models with tests, incremental materializations, lineage you can audit. Trustworthy data downstream teams can build on.

dbtSnowflakeDatabricksSQL
03
03

Serve

Dimensional models, semantic layers, row-level security. Star schemas that hold up through reorgs. Dashboards and APIs that surface insights to the people making decisions.

SnowflakePower BIRLSStreamlit
04
04

Deploy

Infrastructure as code, CI/CD pipelines, monitoring and alerting. Ship fast, scale confidently, sleep through the Saturday on-call.

AWSDockerGitCI/CD
Experience
04

17 years.
4 chapters.

01

Lead Business Intelligence Developer

Mutual of Omaha
Nov 2022 — Present
  • Architected and deployed robust data pipelines using Python and SQL Server to integrate processing across hybrid environments, serving as the foundation for enterprise analytics.
  • Leading the migration of on-premises data infrastructure to Snowflake and AWS, designing scalable cloud architectures and establishing migration patterns to modernize the organization's analytics platform.
  • Leveraging AI-powered development tools including Claude, VS Code Copilot, OpenAI Codex, AWS Bedrock, and Google Gemini to accelerate pipeline development, automate code generation, and streamline data engineering workflows. Google AI Essentials certified.
  • Optimized data refresh intervals, reducing latency from daily to hourly ingestion by re-engineering ETL workflows, enabling near real-time decision-making for business stakeholders.
  • Implemented Git version control and collaborative coding standards, transitioning the team from manual script management to a structured CI/CD workflow.
  • Mentored junior developers on advanced SQL techniques, stored procedure optimization, and data modeling best practices.
PythonSnowflakeAWSSQL ServerAIGitCI/CD
02

Reporting & Analytics Manager

T-Mobile
Feb 2017 — Oct 2022
  • Managed two Power BI tenants during the Sprint–T-Mobile merger, ensuring seamless consolidation of reporting environments and uninterrupted analytics access across both organizations.
  • Led the migration of Sprint data assets into T-Mobile's analytics ecosystem, standardizing schemas and validating data integrity to enable unified reporting post-merger.
  • Onboarded and trained Sprint developers on T-Mobile's data platforms, tooling, and best practices, accelerating team integration and productivity during the transition.
  • Designed and managed high-volume ETL processes to ingest training data from third-party LMS vendors, supporting over 80,000 daily active users.
  • Leveraged Databricks concepts and SQL optimization strategies to address pipeline bottlenecks, resulting in a 30% year-over-year lift in training completion rates.
  • Automated dataset refreshes using PowerShell scripting and API connectors, reducing manual intervention and ensuring data timeliness.
  • Implemented Row-Level Security (RLS) within data models to ensure compliance with data governance standards and protect sensitive corporate information.
  • Developed complex stored procedures to support national retail sales metrics, ensuring 100% data accuracy across executive dashboards.
Power BIDatabricksSQLPowerShellPythonRLSETL
03

Senior Data Analyst

T-Mobile
Jan 2015 — Feb 2017
  • Collaborated with IT and Operations to define scope matrices and sequence diagrams, ensuring new data integration projects aligned with ETL best practices.
  • Executed data cleaning and modeling techniques to transform raw data into reliable datasets for strategic planning and decision-making.
SQLETLData ModelingData Analysis
04

Data Analyst

Maximus Inc.
Feb 2009 — Jan 2015
  • Automated 10+ core reporting processes, resulting in a 75% decrease in overtime hours and improved overall ETL efficiency.
  • Developed and maintained ETL processes using MS-SQL Server and PL-SQL to compile performance metrics for Operations and Call Centers.
MS-SQL ServerPL-SQLETLReportingAutomation
Contact
05

LET'S

BUILD.

Whether it's a data platform, an AI system, or a full-stack application — I'm always interested in solving hard problems with great teams. Let's connect.

Location

San Antonio, TX