Silamlak Desye
Backend engineer for APIs, automation & AI integrations
New to Contra
Silamlak is ready for their next project!
Built reproducible AI and data engineering workflows for analytics and machine learning projects. The work included data cleaning, data warehousing, DBT transformations, DVC-based data versioning, MLflow experiment tracking, model deployment, dashboard building, and CI/CD practices. This project strengthened my ability to turn raw data into structured pipelines, track machine learning experiments, and deliver reliable analytics workflows.
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Designed and implemented a PostgreSQL/Supabase-based payment and pricing engine supporting seasonal pricing, tier-based rules, override logic, database functions, triggers, and optimized views. Improved payout calculation performance and helped make backend pricing logic more reliable and maintainable.
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Built a Flask-based API for validating, transforming, filtering, merging, and processing CSV/JSON data. Implemented JWT authentication, pagination, filtering, and structured API responses to support efficient backend data workflows.
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M-Pesa Python SDK for Payment API Integration
Built a Python SDK for integrating M-Pesa APIs, including STK Push, C2B, and B2C payment workflows. The SDK simplified authentication, request validation, transaction handling, and error management so developers could integrate M-Pesa services with a clean and consistent API pattern.
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