Hire the Best Data Engineers
in Kenya

As a versatile AI and Data Professional with over 4 years of experience, I specialize in transforming raw data into actionable insights and intelligent systems that drive business growth. Holding a Degree in Data Science and certifications in AWS Machine Learning and Python for Finance, I bridge the worlds of Data Analysis, Engineering, AI Development, and Financial AI applications. Whether you're a startup scaling operations or a fintech firm optimizing portfolios, I deliver solutions that are efficient, scalable, and ROI-focused.

I help organizations transform raw data into reliable reporting, analytics, and decision-support systems. My background combines Data Engineering, Analytics Engineering, and Monitoring, Evaluation & Learning (MEL) analytics. I design end-to-end data workflows that collect, process, transform, and visualize data to support operational and strategic decision-making. I have experience building production-style data solutions including automated ETL/ELT pipelines, PostgreSQL data warehouses, workflow automation systems, KPI reporting frameworks, and Power BI dashboards. Technical Expertise • SQL (Advanced Queries, CTEs, Window Functions, Query Optimization) • PostgreSQL • Python (Pandas, NumPy) • Airflow • dbt • Docker • Power BI • Data Warehousing • ETL / ELT Pipelines • API Integrations • Workflow Automation (n8n) • KoboToolbox Data Systems Services I Provide ✓ Data Pipeline Development ✓ ETL / ELT Workflow Automation ✓ PostgreSQL Database Design ✓ SQL Development & Optimization ✓ Data Warehouse Design ✓ Power BI Dashboard Development ✓ Monitoring & Evaluation (MEL) Reporting Systems ✓ KoboToolbox Data Processing & Reporting ✓ Automated Data Collection & API Integration ✓ Business Intelligence Solutions Selected Project Experience • Food Security Intelligence Pipeline Designed and deployed an automated humanitarian intelligence platform that ingests KoboToolbox survey submissions, processes vulnerability indicators, stores structured data in PostgreSQL, and generates operational alerts and reporting outputs. • Youth Employment MEL Analytics System Built a monitoring and evaluation database system using PostgreSQL and SQL analytics to assess employment outcomes, measure program impact, compare treatment and control groups, and generate donor-reporting indicators. • Data Warehouse & Analytics Engineering Projects Developing modern ELT architectures using Airflow, dbt, Docker, PostgreSQL, and object storage to support scalable reporting and business intelligence workflows. I focus on building solutions that are accurate, maintainable, scalable, and aligned with real operational needs. Whether you need a reporting dashboard, automated data pipeline, SQL optimization, or a complete analytics platform, I can help transform your data into actionable insights.

Hi, I'm Ian – a Data Engineer specializing in building reliable, scalable data pipelines and e-commerce integrations that drive business growth. With 3+ years of experience developing data solutions for e-commerce businesses, I help companies automate their operations, synchronize marketplace data, and gain actionable insights from their data. My technical expertise in Python, SQL, and AWS, combined with my understanding of e-commerce operations, allows me to deliver solutions that directly impact revenue and efficiency. How I can help you: Custom API Integrations: Connect your business with marketplaces, drop shippers, and third-party services through automated, reliable integrations ETL Pipeline Development: Build robust data pipelines that transform raw data into valuable business insights Order Management Systems: Develop automated systems that synchronize orders across platforms with real-time notifications Database Optimization: Improve query performance and data processing speeds through strategic indexing and optimization Business Intelligence Solutions: Create dashboards and analytics platforms that visualize KPIs and drive decision-making Recent achievements: Reduced data processing times by 75% through PostgreSQL optimization Increased sales by 15% with a custom marketplace integration platform Improved fulfillment speed by 99% with an automated order management system Reduced manual data processing time by 60% with AI-powered tools My Skills And Favorite Tools: Data Engineering ETL Pipeline Development API Integrations e-Commerce Systems Python (FastAPI, Flask) PostgreSQL AWS Cloud Services Airflow Data Warehousing Business Intelligence Database Optimization MongoDB NoSQL Databases PowerBI, Apache Superset I approach every project with a focus on delivering business value through technical excellence. Let's discuss how data engineering can help solve your biggest business challenges. less

Hi! I’m Mathew, A reliable and detail-oriented Virtual Assistant specializing in B2B lead generation, executive administrative support, and data management. I help businesses streamline tasks through expert use of LinkedIn, Sales Navigator, ZoomInfo, Apollo.io, Seamless.AI, and various CRM tools. With strong MS Office and Google Sheets skills, I deliver accurate work, minimal supervision needed, and consistent results. I’m focused on building long-term, remote working partnerships through professionalism, efficiency, and trust. Thank you, Matthew

I'm a backend and data engineer with 8+ years building production systems in Python, Node.js, Django, Flask, and FastAPI and, increasingly, the AI layer sitting on top of them: LLM integration, AI agents, RAG pipelines, and workflow automation. I move comfortably between clean API development, solid data engineering, and the kind of technical writing and QA evaluation that most engineers skip and most clients wish someone would actually do well. I love documenting my journey - From challenges, breakthroughs, and lessons learnt. This has heavily boosted my technical writing experience and documentation. overall. My work covers three tightly connected lanes: 1. Backend & API Development: - Python (Django, Django REST Framework, Flask, FastAPI), Node.js, PHP/Laravel. - REST API design and development - API integration, authentication (JWT/OAuth), webhooks (Discord, Telegram, WhatsApp, Stripe, PayPal, Ayden, M-Pesa), and third-party integrations (payments, CRM, identity, fintech, HR/Payment). - PostgreSQL, MySQL, MongoDB - database security, schema design, query optimization, data modeling, DBMS. (As I validate idempotency & Race Conditions). - Docker, AWS, CI/CD, Git/GitHub, Kubernetes - deployment pipelines that don't fall over at 2 am. - Frontend when needed: React, Next.js, TypeScript, Bootstrap, Angular. **I ensure efficiency, security, Idiomatic and tested backend Engineering.** 2. Data Engineering & Automation: - ETL pipelines, data cleaning, data pipelines, reporting dashboards.(Power BI, Azure Data Factory). - Pandas, NumPy, scikit-learn, SQL, Apache Airflow - for data processing, monitoring, and analysis. - Web scraping and data extraction (BeautifulSoup, Scrapy, Selenium, Playwright) for structured data collection at scale. - Workflow automation with n8n, Zapier, and custom Python scripts that replace hours of manual work with a scheduled cron job. ** I ensure accuracy, consistency, security and integrity of the data.** 3. AI, LLM & Automation Engineering : - LLM API integration - OpenAI API, Claude/Anthropic API, and prompt-driven AI agent development. - RAG (Retrieval-Augmented Generation) pipelines, vector databases (Pinecone, Chroma, pgvector), and semantic search. - Prompt engineering, chatbot development, and AI-powered document/data extraction workflows. - AI evaluation and QA - I've spent real hours as a paid AI evaluator (Vetto Arena, Welo Data, a Microsoft Research AI productivity study) doing rubric-based LLM evaluation, adversarial prompting, multi-turn conversation annotation, and QA auditing of other annotators' work. **If your project needs someone who can tell you why your RAG bot is hallucinating, not just wire the API together, that's where I've actually spent time.** 4. Technical Writing : Developer guides, API documentation, tutorials, product manuals - written so a non-technical stakeholder and a backend engineer both walk away with what they need. I do this because am a senior developer working with other developers who could rely heavily on how the systems work, including the creative, design and implementation process. Why this combination matters: Python developers can build the endpoint. Fewer can also build the data pipeline feeding it, wire in an LLM agent responsibly, document it clearly, and evaluate whether the AI layer is actually working before you ship it. That's the gap I sit in. Flagship project: Vantage Market - a solo-built luxury e-commerce platform covering the full stack from architecture to deployment. Backend built on Flask, PostgreSQL, and Redis, containerized with Docker, with a React frontend. Includes a data pipeline feeding product/order analytics dashboards and full API documentation for every endpoint. Currently extending it with an AI-powered shopping assistant chatbot (LLM integration with RAG-based product search) in active development. I designed, built, evaluated, and documented every layer of it myself, which is exactly the range I bring to client engagements: backend, data, AI, and the writing that ties it together. It has over 4000 active users. Tech & Toolkit Languages: - Python, JavaScript/TypeScript, PHP, SQL, C, Java. - Frameworks: Django, Django REST Framework, Flask, FastAPI, React, Next.js, Express.js, Spring Boot, Bootstrap. - Databases: PostgreSQL, MySQL, MongoDB, Redis. - AI/LLM: OpenAI API, Claude/Anthropic API, RAG, vector databases, LangChain, prompt engineering, AI agent development. - Automation: n8n, Zapier, Python scripting. - Cloud/DevOps: AWS, Docker, Render, Git, CI/CD. - Tools: VS Code, Notion, Markdown, Google Docs/Sheets, Postman. If you need a Python/Django/FastAPI backend, a data pipeline that actually runs unattended, an AI agent or LLM integration that's been properly evaluated instead of just demoed, or documentation your team will actually read, let's talk. I turn "we think it kind of works" into "here's the test suite and the docs proving it does."

"I am happy to share my experience with Victor, an outstanding freelance writer. His remarkable productivity and top-tier writing skills have consistently impressed me. Victor's ability to deliver exceptional content on time is truly commendable. If you're looking for a highly productive and skilled freelance writer, I recommend him – he consistently goes above expectations." As a dedicated data scientist and analytics professional, I bring a solid foundation in data science and hands-on experience in data-driven problem-solving and predictive analytics. I have honed my skills through extensive projects and formal training, including certifications from the Data Science Council of America and DataCamp. My technical acumen and commitment to delivering actionable insights empower me to create impactful solutions across diverse industries. I specialize in: • Data Engineering and Analytics: Experienced in building data pipelines and managing ETL workflows with Hadoop, AWS Redshift, and Google BigQuery. • Data Visualization and BI: Skilled in translating complex data into meaningful visuals with tools like Tableau, Power BI, and Looker, helping stakeholders make informed decisions. • Machine Learning & Predictive Modeling: Proficient in designing and deploying ML models, with a strong command of Python, R, and SQL. • Process Automation: Developed and deployed Power Apps to automate workflows, improving efficiency and accuracy in data reporting. • Retail and Network Analysis: Completed independent projects on recommender systems and product network analysis using R and Shiny, leveraging association rule mining and community detection for business insights. Core Technologies and Tools: • Programming Languages: Python, Java, R, Scala • Data Tools: Hadoop Ecosystem, TensorFlow, Elastic Search, Apache Spark, Kafka, MongoDB • Visualization: Tableau, Power BI, Shiny • Cloud & Database: Google Cloud Platform, AWS Redshift, SQL, BigQuery • Certifications: Associate Big Data Engineer (ABDE™), Data Science Council of America; Data Engineer, Data Scientist, and Data Analyst Associate from DataCamp With a proven data engineering, analytics, and visualization record in data engineering, analytics, and visualization, I'm excited to connect with clients seeking data solutions that drive success. Let’s discuss how I can take care of it. I'm excited to connect with clients seeking data solutions that drive success. Let’s discuss how I can bring your data strategy to the next level.