Open to opportunities

Evan Mesa

@evanmesa

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Driven Senior Data Engineer with a passion for data innovation.

United States

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What I'm looking for

I am looking for a role that fosters innovation, encourages collaboration, and offers opportunities for professional growth in data engineering.

I am a Senior Data Engineer with a deep passion for data engineering and innovation. My extensive experience includes optimizing complex data infrastructures and enhancing data accessibility, which aligns perfectly with the mission of achieving data reliability and integrity. I am committed to leveraging cutting-edge technology and mentoring emerging talent to ensure strategic business objectives are met through advanced data solutions.

Throughout my career, I have spearheaded the integration of backend infrastructures for major platforms like Disney+ and Hulu, optimizing data flow and streamlining subscriber data management. I have engineered and automated Airflow DAGS and Harmony jobs, enhancing operational efficiency and driving data accessibility. My work has consistently focused on developing robust data pipelines and ensuring data quality, which has significantly improved decision-making processes within organizations.

In addition to my technical skills, I have a strong track record of mentoring junior engineers and coordinating cross-functional collaboration with data analysts and product teams. I believe that fostering a collaborative environment is key to aligning data processing strategies with business objectives and enhancing overall data accessibility.

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Experience

Work history, roles, and key accomplishments

Senior Data Engineer

Disney Plus

Dec 2021 - Sep 2024 (2 years 9 months)

Spearheaded the integration of backend infrastructures for Hulu and Disney+, optimizing data flow and streamlining subscriber data management. Engineered and automated Airflow DAGS and Harmony jobs for daily data extraction with Snowflake SQL, enhancing operational efficiency. Optimized and deployed internal data visualization queries using Airflow, driving data accessibility and decision-making.

Airflow Databricks Python ETL Data Quality Data Pipelines Data Visualization Mentoring

Data Engineer

Nike

Feb 2021 - Oct 2021 (8 months)

Managed and optimized daily batch runs on Airflow clusters for data migration between ingestion layers, supporting inventory forecasting efforts. Developed observability metrics using Python to monitor and report on Airflow DAG performance, enhancing operational transparency. Deployed robust Airflow DAGS and Spark SQL queries within AWS to facilitate efficient data processing across cloud infrastr

Airflow AWS S3

Data Engineer

Datanomers

Jul 2020 - Dec 2020 (5 months)

Architected and implemented the entire backend for a dynamic system predicting NBA player stats for daily fantasy and prop betting. Collected and transformed 20 years of historical player and team data, preparing it for machine learning applications. Developed an automated data pipeline that ingests and processes new data daily, empowering subscribers with insights.

Python Pandas Pytest

Data Engineer

Math Guy Analytics

Mar 2019 - Jun 2020 (1 year 3 months)

Engineered a predictive data pipeline and football betting algorithm using Python, Pandas, BeautifulSoup, and Scikit-Learn. Developed a web scraping system that aggregated data from multiple sources, transforming it into actionable datasets for regression analysis. Engineered 200 features, applying dimensionality reduction techniques to refine and tune the algorithm for optimal performance.

Python Pandas BeautifulSoup

Data Mining Specialist

48WS

Jan 2018 - Feb 2019 (1 year 1 month)

Developed a system for scraping inventory data from construction industry websites using BeautifulSoup and Selenium. Built an intuitive system to streamline the scraping and categorization process, improving team productivity and data accuracy.

BeautifulSoup Selenium Web Scraping Inventory