Fidel Ndai Adero

I am an experienced data and analytics professional with a strong background in data engineering, analytics and visualization. Over the years, I have developed and implemented scalable data solutions to support decision-making and improve operational efficiency across industries including e-commerce, marketing and technology.

My expertise includes designing and optimizing ETL pipelines, building interactive dashboards and developing data models that bring clarity to complex datasets. I am proficient in Python, SQL and modern data tools such as dbt, Airflow, BigQuery and Snowflake. On the analytics side, I leverage Looker Studio, Power BI and Tableau to create dynamic reports that highlight key insights and drive business strategy.

One of my most impactful projects involved extracting, modeling and visualizing data from HubSpot CRM and multiple advertising platforms (Google, Facebook, TikTok). I built pipelines to consolidate leads and campaign performance into clean, analysis-ready tables, then developed dashboards that gave marketing and management teams a unified view of performance. This work improved data reliability, reduced reporting time and empowered teams to optimize spend and track conversions more effectively.

I am skilled in data quality assurance, ensuring accuracy and consistency across fast-changing datasets and have a proven ability to work with cross-functional teams to deliver actionable results. My experience also includes applying advanced analytics techniques such as cohort analysis and trend forecasting to uncover growth opportunities.

As someone who is highly organized and detail-oriented, I am passionate about turning raw, messy data into meaningful stories that empower organizations to achieve their goals. I thrive on solving data challenges, whether that’s designing an efficient pipeline, cleaning and modeling marketing data, or building dashboards executives can trust.

I look forward to collaborating on challenging projects and delivering exceptional value to clients who want to leverage their data for growth and efficiency.