Hire the Best Apache NiFi Developers in Nairobi, KE

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

I help businesses build reliable, scalable data infrastructure — so your teams spend time making decisions, not waiting on broken pipelines or untrusted reports. Whether you're starting from scratch, migrating to the cloud, or drowning in messy data, I design and deliver end-to-end data engineering solutions that actually work in production. What I build for clients: - Data pipelines — automated, monitored ETL/ELT pipelines that move data reliably from source to destination without babysitting - Data warehouses — structured, query-optimised warehouses on Snowflake, BigQuery, or Redshift that your analysts can actually use - Data transformations — clean, tested, version-controlled dbt models that turn raw data into trusted business metrics - Stream processing — real-time data pipelines using Kafka and Flink for businesses that can't afford to wait - Cloud data platforms — end-to-end architectures on AWS, GCP, or Azure built for scale and cost efficiency - Data quality & observability — automated testing and monitoring so you know when something breaks before your users do My approach: I don't just write code and disappear. I ask what decision or outcome the data needs to support, then work backwards to build the right solution — not the most complex one. Tools & technologies: Python · SQL · Apache Spark · Apache Kafka · dbt · Apache Airflow · Snowflake · BigQuery · Redshift · PostgreSQL · AWS (S3, Glue, Lambda, Redshift) · GCP (BigQuery, Dataflow, Pub/Sub) · Azure (Data Factory, Synapse) · Docker · Kubernetes · Terraform · Git Who I work well with: Startups building their first data stack. Scale-ups whose pipelines are breaking under growth. Analytics teams that need a data engineer to work alongside them. CTOs who want clean architecture without technical debt. If your data is messy, slow, or unreliable — let's talk.