- ๐ญ Iโm currently working on getting a job as a Data Engineer
- ๐ฏ Iโm looking to collaborate on any and all projects
- ๐ค Iโm looking for help with Data tasks
- ๐ฌ Ask me about: Data Engineering
- ๐ซ How to reach me: [email protected]
- ๐ Pronouns: He/Him
- โก Fun fact: Love listening to music, Love looking up recipes to try out different dishes, I'm more productive at home
With a strong educational background from AltSchool Africa and hands-on experience as a Data Engineering/MLOps intern at hamoye.com, I am dedicated to leveraging data to drive insights and create impactful solutions. My expertise spans Python, PostgreSQL, GCP, Apache Beam, ETL, and Airflow enabling me to contribute effectively to data engineering projects.
Over the year I have engaged myself in projects that bring together data science, data analytics, and data engineering; developed and maintained prediction systems that help to discover hidden insights and provide a better view of ways to solve problems that drive the companyโs growth and stability.
I am experienced in Mlops (mlflow, evidently AI), big data tools (beam, airflow, docker ), and the use of data visualization techniques to present the results. I use SQL, Python, and cloud technologies (GCP, AWS) for my data projects and am very good at providing solutions to problems that stomp your company's data-driven decisions.
My Skills includes:
Technical Skills:
- Programming Languages: Python, SQL
- Big Data Technologies/ETL Tools: Apache Beam, Apache Airflow, dbt
- Database Management Systems: PostgreSQL, MongoDB
- Cloud Platforms: Amazon Web Services (AWS), Google Cloud Platform (GCP)
- Data Lake: Amazon s3, Google Cloud Storage
- Data Warehousing: Amazon Redshift, Google BigQuery, Snowflake
- Serverless Data Processing: Dataflow
- Messaging Service: Google Pub/Sub
- Data Visualization: Looker
- Version Control: Git, GitHub
Soft Skills:
- Creativity
- Collaboration and teamwork
- Strong problem-solving and analytical skills
- Excellent written and verbal communication skills
- Ability to work collaboratively in a team environment
- Detail-oriented with a focus on data accuracy and quality
- Leadership and team management capabilities
- Data ethics and privacy awareness
- Adaptability
- Time management
- Continuous learning