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Momo E.
Data Engineer
Momo is a Data Engineer with over five years of experience transforming raw data into actionable business intelligence. He specializes in Microsoft technologies including Power BI, Microsoft Fabric, and SQL, using them to build scalable, efficient, and insight-driven data solutions.
He designs and automates robust data pipelines, develops user-friendly reporting systems, and enables better decision-making through accessible analytics. Momo is known for his problem-solving mindset and ability to adapt to diverse technical challenges. He works seamlessly across technical and business teams, ensuring that data solutions are both practical and aligned with business goals.
As a freelance consultant, Momo supports clients in modernizing their data platforms—from creating intuitive dashboards to streamlining complex reporting workflows. His work unlocks the full potential of enterprise data by making it reliable, organized, and easy to interpret.
Main expertise
- Microsoft Power BI 5 years
- SQL 4 years
- Microsoft Power Platform 5 years
Other skills
- Python 3 years
- dbt 1 years
- Snowflake 1 years
Selected experience
Employment
BI Expert
AMDT - 3 months
- Designed and implemented data pipelines using dbt for efficient data transformation and modeling.
- Developed and optimized Snowflake data warehouses to support scalable, high-performance analytics.
- Created and maintained interactive Power BI Embedded dashboards to deliver real-time insights to end-users.
Technologies:
- Technologies:
Microsoft Power BI
- Data Engineering
Jira
Git
- Data Analytics
Snowflake
- Data Modeling
dbt
BI Consultant
KLEPIERRE - 9 months
- Prepared, modeled, and audited existing data ecosystems to optimize performance.
- Designed and maintained Power BI dashboards, analyzed client needs, and delivered data visualization POCs.
- Developed technical solutions using SQL and Python on Microsoft Fabric to support various financial analyses.
Technologies:
- Technologies:
-
Microsoft Power BI
- Data Engineering
- Data Analytics
Azure Synapse
- Data Modeling
Microsoft Power Automate
Microsoft Power Platform
Microsoft Fabric
Global Data Analyst
Ingenico - 4 years 2 months
- Implemented data pipelines and OLAP cubes in collaboration with the IT BI team to automate business reports and processes.
- Worked closely with business teams to identify reporting needs, define goals, and set priorities.
- Collaborated with the IT BI team to define development requirements and establish implementation priorities.
- Automated, centralized, and improved the reliability of data across business functions.
- Created Power BI dashboards and reports to support business decision-making.
- Shared, published, and trained business teams on using reports and dashboards effectively.
Technologies:
- Technologies:
Databricks
-
Microsoft Power BI
- Data Science
- Data Engineering
-
Jira
- Data Analytics
- Data Modeling
Salesforce
SAP
-
Microsoft Power Platform
Education
MSc.Markets Finance
PACE University - Lubin School · 2018 - 2019
MSc.Data engineering
École supérieure d'ingénieurs Léonard-de-Vinci · 2014 - 2019
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