Python Developer with 1 year of commercial experience in building scalable backend services and designing scalable data pipelines.
Managed pipelines with AWS S3, Athena, Airflow, and DBT.
Improved stability of daily workflows.
Optimized SQL in ETL.
Reduced processing time by approximately 20%.
Added automated data validation.
Improved data quality and reduced manual checks.
Optimized DBT models and added S3 lifecycle.
Reduced storage use and improved performance.
Used Terraform and Terragrunt.
Enabled reproducible infrastructure setups.
Managed pipelines with AWS (S3, Athena), Airflow, DBT — improved stability of daily workflows., Optimized SQL in ETL, reducing processing time by ~20%., Added automated data validation — improved data quality and reduced manual checks., Optimized DBT models + added S3 lifecycle — reduced storage use and improved performance., Used Terraform/Terragrunt — enabled reproducible infrastructure setups.
Built Celery workers for license validation and usage tracking.
Offloaded heavy tasks and improved API response time.
Implemented WebRTC video chat using aiortc and aioice.
Enabled stable low-latency communication.
Modernized the legacy codebase with tests.
Reduced regression bugs and improved reliability.
Upgraded password security using modern encryption.
Lowered security risks.
Developed a reusable SendGrid email system.
Reduced duplicated logic and sped up new features.
Worked with Agile and CI/CD.
Ensured stable and predictable releases.
Built Celery workers (license validation, usage tracking) — offloaded heavy tasks and improved API response time., Implemented WebRTC video chat (aiortc + aioice) — enabled stable low-latency communication., Modernized legacy codebase with tests — reduced regression bugs and improved reliability., Upgraded password security using modern encryption — lowered security risks., Developed reusable SendGrid email system — reduced duplicated logic and sped up new features., Worked with Agile + CI/CD — ensured stable and predictable releases.
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