Open to opportunities

Mike Tyson

@miketyson

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Results-oriented Senior Data Engineer with expertise in data optimization.

United States

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What I'm looking for

I am looking for a role that offers opportunities for growth and innovation, where I can leverage my data engineering skills to drive impactful business solutions.

I am a results-oriented Senior Data Engineer with over 5 years of experience in data engineering and analytics. My expertise lies in designing and maintaining Apache Airflow DAGs, leveraging Redshift and Python to optimize data pipelines. I am adept at delivering technical solutions that address business challenges, ensuring data reliability and accessibility for stakeholders.

At Anaplan, I spearheaded the design and maintenance of data workflows, enhancing data integrity and accuracy through improved upsert logic and reporting pipelines. My collaborative approach with finance and operations teams has allowed me to translate complex business problems into effective technical solutions, utilizing cloud-based tools to enhance operational efficiency. I have a strong background in managing large datasets and implementing automated validation systems, which have significantly improved data hygiene and accuracy.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Anaplan

Jan 2024 - Present (1 year 6 months)

Spearheaded the design and maintenance of Apache Airflow DAGs for automating data cleaning, ingestion, and transformation workflows, ensuring smooth and efficient data operations. Drove upsert logic and reliability improvements for pipelines processing batch exports across multiple data warehouses, enhancing data integrity and accuracy.

Apache Airflow Redshift Python ETL Data Modeling SQL Pandas Labeling Systems

Software Engineer

Insight Global

Jan 2019 - Dec 2023 (4 years 11 months)

Developed and managed SQL and Python scripts for data transformation and processing, aligning with business requirements in a dynamic environment. Facilitated data workflows using Apache Airflow, optimizing pipeline orchestration and reducing operational bottlenecks.

SQL Python Apache Airflow Redshift Postgres Sisense AWS S3 ETL Data Warehousing Data Quality

Software Engineer

DoorDash

Jan 2017 - Dec 2018 (1 year 11 months)

Assisted in the development of data pipelines utilizing SQL and Python, enhancing data processing workflows for operational needs. Coordinated with cross-functional teams to identify data requirements and deliver solutions that aligned with business objectives.

SQL Python Apache Airflow Data Normalization Cloud Storage Data Pipelines

Software Engineer

Anaplan

Jun 2015 - Dec 2016 (1 year 6 months)

Engaged in data cleaning and transformation processes, with a focus on learning and applying SQL scripting for task automation. Assisted in the foundational development of data warehouses, gaining hands-on experience with MSSQL and Postgres.

SQL MSSQL Postgres Data Cleaning XLSX Ingestion BI Tools

Education

Degrees, certifications, and relevant coursework

University of Texas at Dallas

Bachelor's Degree, Computer Science

2011 - 2015

Studied Computer Science at the University of Texas at Dallas from September 2011 to May 2015. Gained foundational knowledge in computer science principles and practices.