Hire the Best Apache Cassandra Developers in Nairobi, KE

-------------------------------------------🟢𝐀𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 𝐍𝐨𝐰🟢------------------------------------------- Greetings, I am a Certified Backend Developer with over 8 years of experience, in enterprise-level application development, often under tight deadlines. My journey is anchored in developing robust backend systems using the Spring Framework, PHP Core or Python. 🌟 My Specialization 🌟 ✅ Python Spark, Flask, Django & FastAPI Frameworks ✅ DBT core & Databricks Workflows ✅ Java EE Family: EJB, JPA, Hibernate,Servlets, RESTful Services (JAX-RS), SOAP Services (JAX- WS), Apache CXF & Bean Validation. ✅ JAVA Spring Frameworks: SpringBoot, Spring Core, Spring Batch, Spring Data, Spring Cloud ✅ SQL Databases: SQL Server, MySQL, PostgreSQL, MariaDB & Oracle ✅ NoSQL Databases: Dynamo & MongoDB ✅Hands-on design, development, implementation, and optimization of the application. ✅Use Object-oriented techniques and Software engineering best practices including Design review, Code review, and Code re-factoring. ✅Experienced with the full Software development life cycle (SDLC) including - Requirement gathering - Prototyping (Design, Development & Debugging) - Testing and - Deployment 🌟 WHY CHOOSE ME OVER OTHER FREELANCERS? 🌟 ✅ Quality-Oriented: I focus on providing VALUE to all of my Clients and Earning their TRUST. Delivering with quality is the key to gaining trust, and that's where I put my core focus. ✅ Over-Delivering: This is core to my work as a Freelancer. My focus is on GIVING more than what I expect to RECEIVE. I take pride in leaving all of my Clients saying "WOW." ✅ Adaptive to changes: During Software Development Lifecycle, it is highly likely some changes might be needed. I understand this and open to any changes. The end goal is to make my client achieve his target, and the objective is to make his/her business more profitable. ✅ Responsiveness: Being extremely responsive and keeping all lines of communication readily open with my Clients. ✅ Respect: Self-respect is everyone's right. I belong and thrive in a work culture where everyone's self-respect is of utmost importance. Maintaining relations with my clients to boost their self-respect is one of the core offerings that I can offer here. If you seek an unwavering professional with a penchant for perfection and a relentless commitment to innovation, let's join forces to breathe life into your vision. Together, we can catalyze the true potential of the digital landscape.

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.