Abdikani Ahmed

I'm well-acquainted with Pipelines, Processing Systems, Data management and Analytics. Strong desire to move forward, face new challenges, and expand my skill set in building data intensive applications, tackling challenging architectural and scalability problems.

What I Do

ETL/ELT Pipleines

Capable of creating Data Pipelines using Bash Scripts and Python, Streaming Data Pipelines using Kafka as well as leveraging Apache Spark for ETL jobs on large-scale data. Familiar with Apache Airflow for Data Orchestration.

Analytics

Use dbt to provide clean data sets to end users, modeling data in a way that empowers end users to answer their own questions. Apply Software Engineering best practices to analytics code like modularity, portability, CI/CD, and documentation. Familiar with Tableau and Looker.

Databases

Analyze data within a database using SQL and Python. Design and populate a data warehouse on Snowflake and BigQuery as well as model and query data. Able to work with Relational and NoSQL Databases.

Cloud

Good understanding of AWS and GCP Cloud solutions.

Education

2017 - 2021
Heriot-Watt University, Edinburgh- Scotland

B.Eng. Chemical Engineering

Award: 2:1 Upper Second Class Honours.

Experience

2021 - 2022
Additive Flow, London- England

Application Engineer

Expanded specific thinking developed from training to a more holistic business-oriented thought process via close interaction with the CEO. Created engineering whitepapers, tutorials, and case studies to showcase client cost savings, increased sustainability, improved performance, and considerable time savings.

2021
Kenya Pipeline Company Limited, Nairobi- Kenya

Intern- Quality Control Chemist

Worked with a senior team member to develop and validate analytical methods, Standard Operating Procedures (SOP) and other operating, safety, and quality documents. Adhered to internal standards, policies, and procedures. Understood company Quality Management System ISO 9001 and ISO 17025 requirements in related tasks.

Certificates

Proficiency

ETL/ELT Pipeline

80%

Data Warehousing

75%

GCP

85%

Communication

95%

Coding Skills

SQL

90%

Python

80%

dbt

90%

Bash

85%