Empowering businesses with innovative data pipelines, cloud architectures, and real-time streaming solutions. Leveraging expertise in Python, SQL, and GCP to deliver impactful, data-driven insights.
My professional journey began in analytics, where I was deeply engaged in managing government website analytics, running reports, and identifying patterns to inform decision-making. As I delved into the underlying systems and code powering these insights, I discovered a passion for the technical challenges and creativity involved in building data solutions. This fascination drove me to expand my expertise into data engineering and full-stack development.
Over the years, I’ve had the privilege of contributing to diverse environments, including government contracts, non-profits, and established organizations. Today, as a Lead Data Engineer, I design and optimize scalable data architectures and workflows. My work spans the entire data lifecycle—gathering, cleaning, transforming, and processing data—to deliver actionable insights that empower businesses to make informed decisions.
In my free time, I channel my passion for coding into full-stack development projects. From concept to deployment, I create applications using technologies such as Python, TypeScript, React/NextJS (App Router), Redis, and Postgres. These projects allow me to explore the latest technologies and refine my ability to write maintainable, modular code. Currently, I am focused on a side project using NextJS, Prisma, and REST APIs to automate marketing data flows at scale.
Here are some of the technologies I work with regularly:
Python
SQL
BigQuery
Apache Airflow
Notebooks
Pandas
REST APIs
Redis
Docker
Postgres
Apache Kafka
Apache Flink
Data Modeling
Google Marketing Platform
TypeScript
ReactJS/NextJS (App Router)
Prisma
Git/GitLab/GitHub
JIRA
Managed data architectures and led GA4 analytic migrations, optimizing BigQuery ETL pipelines for enhanced data accuracy and actionable insights.
Demonstrated proficiency in Google Analytics (GA4 & UA), GCP, and BigQuery, with a focus on creating and maintaining BigQuery tables and GA schemas.
Utilized Google APIs, written in Python, to construct scalable data architectures that expedited setup processes and facilitated data-driven decision-making. Ensured the robustness and reliability of these solutions through comprehensive testing using pytest.
I'm always open to exploring new opportunities. If you'd like to discuss my professional experience as a Lead Data Engineer, or if you're interested in collaborating on a project involving data architectures, cloud projects, or full stack web applications, please don't hesitate to reach out!