- Lead engineer responsible for driving the technical direction of the integrations team
- Built and scaled backend infrastructure in Python and AWS (Terraform, Lambda, CircleCI) to support client-facing integrations
- Made architecture and design decisions aligned with product and business goals
- Mentored engineers through reviews, guidance, and technical support
- Improved reliability with monitoring, automated recovery, and proactive issue prevention
- Impact: mentored a team of engineers, and delivered (4+) client integrations with excellence
Career
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- Data Engineer · Jul 2022 - Oct 2024
- Maintained and optimized ETL pipelines with Airflow, Databricks, Snowflake, PostgreSQL, Redshift, and AWS
- Refactored major parts of the codebase, cutting storage use by 50% and accelerating pipelines
- Automated recurring workflows such as emails and reporting
- Consolidated fragmented ETL processes into a single scalable framework
- Python Developer · Feb 2022 - Jul 2022
- Developed serverless applications with Chalice, Terraform, and AWS (SNS, SES, DynamoDB)
- Reverse-engineered SaaS apps to enable new integrations
- Integrated external partners into the client platform
- JavaScript Fullstack Developer · Sep 2021 - Feb 2022
- Built web applications with NodeJS, ReactJS, and MongoDB
- Adapted client software to meet accessibility standards (WCAG/ADA)
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- Tech Lead · Jul 2021 - Sep 2021
- Technical leader for an integration project using SpringBoot and ReactJS
- Directed architecture, technical decisions, and delivery for a small engineering team
- Full Stack Developer · Jan 2021 - Jul 2021
- Built frontend applications with ReactJS and TypeScript
- Developed backend services with Java (SpringBoot) and managed PostgreSQL/MySQL databases
- Maintained a native Android app
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- Built platforms including a gym app, membership system (with reservations, users, and payments), industrial maintenance system, and e-commerce dashboards
- Owned architecture design (DB schemas, APIs, infrastructure) and migrations from legacy databases (Firebird → PostgreSQL/MySQL)
- Automated backups and reporting pipelines with Python, Django, and ReactJS
- Balanced independent delivery with small-team collaboration (2–4 engineers)
- Conducted code reviews, mentored junior engineers, and gathered client requirements
- Impact: Revamped a maintenance system with modern tech, improving usability and client visibility
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- Ported a legacy tracking system into a new, modern architecture
- Built web apps with Python (Django, Tornado), NodeJS, Angular, MongoDB, and MySQL
- Improved performance and data handling for large-scale operational systems