Software Engineer with 6+ years of full-time experience focusing on full stack development and data engineering using modern technologies including Python, Vue.js, React, PostgreSQL, and AWS.
Contributed to over 25 projects spanning enterprise applications, data service engagements, and internal data science tooling, leveraging modern technologies and frameworks such as Flask, FastAPI, Vue 3, Pinia, Postgres, Docker, Kubernetes & Helm, Airflow, AWS & Terraform, CircleCI & GitHub Actions.
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Spearheaded the design and development of Vue3 & FastAPI internal tools aimed at automating manual workflows in addition to collaborating with stakeholders and project management teams to incorporate end-user feedback.
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Engineered Python Airflow pipelines to streamline the ingestion of customer engagement data from various social media platforms including Facebook, Instagram, Google, YouTube, Pinterest, TikTok, and Reddit APIs into a PostgreSQL database, ensuring efficient data management and analysis.
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Implemented continuous integration & delivery workflows across 15+ projects, integrating Pytest unit tests and facilitating AWS ECR publishing via Github Actions and CircleCI, enhancing project quality and deployment efficiency.
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Published Databudgie, an open-source data backup and restore tool which saw broad internal adoption.
Spearheaded the design, development, and iterative release of a React and Python Django application for internal use, resulting in a reduction of company-wide bid time by over 66%. Delivered the initial release one month ahead of schedule, demonstrating strong project management skills and efficiency.
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Led the development of a digital thread prototype, integrating L3Harris product management applications into a unified data warehouse using FastAPI Python microservices and EBS workflow management.
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Designed and executed incremental ETL processes from Oracle EBS to HDFS/Hive via Sqoop, PySpark, and Airflow, empowering company leaders to make informed, data-driven decisions.
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Engineered a real-time streaming pipeline for factory floor machine logs to MongoDB using Node.js and Python microservices, enhancing operational visibility and enabling proactive decision-making.
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Led training sessions for teammates on various tools and libraries including React, Django, Alembic, Docker, Apache Airflow, Apache Sqoop, Luigi, and others, fostering a culture of continuous learning and collaboration within the team.
Led supplementary classroom lectures on course topics and fielded questions from students. Graded homework assignments, evaluated oral presentations, and mentored students in group projects.
