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Build and optimize data pipelines on AWS for clients, focusing on automation, Spark, and CI/CD to enable scalable analytics and business insights.
Build and maintain data pipelines and ETL processes for industrial clients using Python, Spark, Kafka, and cloud platforms like AWS/GCP/Azure.
Designs and deploys Python-based backend services and LLM pipelines on GCP, building REST APIs that connect internal and external data sources.
Build and maintain .NET Core and Flask applications, develop APIs and tools for market risk analysis, and deploy via Azure DevOps in an Agile DevOps environment.
Build and optimize AWS data pipelines for enterprise clients, focusing on automation, cloud-native tooling (Spark, Airflow, Terraform), and scalable data platforms to enable analytics and business insights.
Build and maintain SaaS web apps that embed analytics and AI (ML, generative, agents) on AWS, collaborating with data scientists and cloud engineers.
Build and evolve a B2B SaaS platform that finances energy-efficiency retrofits using AI-driven regulatory engines and LLM tools in Python, FastAPI, and vanilla JS.
Build and optimize Dr Cooper, a biomedical data-search app using Python, JavaScript, Django, PostgreSQL, and Elasticsearch to support medical research and international health cooperation.
Build AI-native developer tools and agents that let engineers and non-engineers contribute confidently at scale, using Python/Flask, React, and PostgreSQL in a monorepo.
Build and maintain Python-based backend systems for insurance and financial services, using Flask/Django/FastAPI, PostgreSQL/MongoDB, and Azure, while collaborating in an Agile team.
Lead Python developer and technical architect designing, coding, and reviewing solutions in Django/Flask while mentoring teams on best practices and software quality.
Build and maintain a Flask-based SaaS platform that gathers meeting feedback, generates analytics, and delivers automated reports for organizations.
Build Python-based fintech solutions for clients using Django/Flask in Agile teams; collaborate with business stakeholders.
Build and scale Python-based microservices and APIs that integrate AI models and fraud-detection systems, ensuring high availability and performance under heavy data loads.
Build secure RESTful and GraphQL APIs in Python using FastAPI, Django, or Flask, with PostgreSQL/MongoDB, Docker, and unit testing.
Build and maintain Python-based backend systems for insurance and financial services, using frameworks like Django/FastAPI and cloud tools on Azure.
Build and maintain scalable backend services and data pipelines for a home-improvement group, using Python, FastAPI, Airflow, Snowflake, and PostgreSQL.
Build and maintain secure RESTful/GraphQL APIs and backend services in Python using FastAPI, Django, or Flask, with PostgreSQL, MongoDB, and Redis.
Senior backend developer building and scaling Python APIs with FastAPI, MongoDB, Redis, and Celery in an AI-focused startup.
Build and maintain scalable backend APIs and data pipelines for a home-improvement group, using Python, FastAPI, Airflow, Snowflake, and PostgreSQL.
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