I'm a backend and data engineer with 5+ years of experience building scalable systems, automating data workflows, and designing reliable ETL pipelines. My expertise spans Python, Django, PostgreSQL, and orchestration tools like Airflow and Dagster, with a strong emphasis on clean, test-driven development.
In recent roles, I’ve engineered AI-powered automation solutions—ranging from custom scripts to internal agents—to streamline repetitive tasks and enhance internal operations. I’ve worked cross-functionally with analysts and product teams to deliver intelligent systems that reduce manual overhead, improve data accuracy, and support business-critical decisions.
I thrive in remote-first, collaborative environments and am passionate about leveraging technology—especially AI and automation—to solve real-world problems efficiently. I’m now looking to bring my technical skill set and builder’s mindset to a team focused on thoughtful innovation, impactful data, and empowering end users.
Experience: 2 - 5 years
Experience: 2 - 5 years
Experience: 2 - 5 years
Experienced Data Engineer with a strong background in building and maintaining ETL pipelines, automating data workflows, and ensuring data integrity across large-scale systems. Skilled in Python, SQL, PostgreSQL, and orchestration tools like Airflow and Dagster. Proven ability to transform raw data into actionable insights and optimize data infrastructure for performance and scalability.
Experience: 2 - 5 years
Experience: 2 - 5 years
Experience: 2 - 5 years
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