Transitioning from automation/ETL-heavy work into product engineering -building APIs that power real user-facing platforms. Looking for a backend/full-stack role at a product company or fintech, owning services end-to-end with a modern stack (Python/FastAPI, PostgreSQL). Remote-first preferred.
Darshan R
@darshanr27
I build Python automation, ETL pipelines, and FastAPI APIs that reduce manual work at scale.
What I'm looking for
Backend engineer with 4+ years building automation systems and data pipelines. At In Time Tec, I built workflow automation with n8n, JavaScript, and MongoDB that reduced manual effort by 70%+. Previously at TCS, I built ETL pipelines that cut runtime by 75%. I'm now building FastAPI/PostgreSQL backend projects and transitioning into product engineering roles.
I've built automation workflows for In Time Tec's US-based hospital staffing client, integrating CRM, credentialing, and document-management pipelines. My work reduced manual effort in job extraction and posting by 70% and credentialing intervention by 90%.
Previously at Tata Consultancy Services, I designed Python and PostgreSQL ETL pipelines, cut runtime from one hour to 15 minutes, and automated data-processing workflows. I also built 25+ Control-M batch jobs with AWS and led a team of four developers in Agile delivery.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
In Time Tec
Mar 2026 - Present (5 months)
Built end-to-end automation workflows for a US-based hospital staffing platform using n8n, JavaScript, and MongoDB, integrating CRM systems, credentialing, and document management pipelines. Reduced manual effort in job extraction and posting by 70% and cut manual intervention in credentialing by 90%.
Software Engineer
In Time Tec
Mar 2025 - Mar 2026 (1 year)
Staffing coordinators were manually copying job listings between systems and manually attaching the credentials - slow and error-prone at scale. I built end-to-end automation workflows using n8n, JavaScript, and MongoDB to sync job postings and document collection and processing automatically. This cut manual effort in job extraction and posting by 70% and credentialing intervention by 90%.
Designed and deployed ETL pipelines using Python and PostgreSQL, automating workflows from requirements to production. Identified a query bottleneck, introduced parallel processing, cutting runtime from 1 hour to 15 mins (75%). Built 25+ Control-M batch jobs on AWS, cutting manual effort 80%. Led a team of four in Agile delivery, mentoring two junior engineers.
Education
Degrees, certifications, and relevant coursework
Adichunchanagiri Institute of Technology
Bachelor of Engineering, Engineering
2017 - 2021
Grade: 7.86 CGPA
Pursued a Bachelor of Engineering degree from Adichunchanagiri Institute of Technology, affiliated with Visvesvaraya Technological University, from 2017 to 2021.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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