Momo E.

Momo E.

Data Engineer

France
Trusted member since 2025
5 years of experience

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 BIMicrosoft Power BI5 years
SQLSQL4 years
Microsoft Power PlatformMicrosoft Power Platform5 years

Experience3

AMDT

BI Expert

AMDT
Manufacturing
Dec 2024 - Mar 2025 · 3m
  • 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.
Microsoft Power BIMicrosoft Power BI
Data EngineeringData Engineering
JiraJira
GitGit
Data AnalyticsData Analytics
3+
KLEPIERRE

BI Consultant

KLEPIERRE
Real Estate
Jan 2024 - Oct 2024 · 9m
  • 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.
Microsoft Power BIMicrosoft Power BI
Data EngineeringData Engineering
Data AnalyticsData Analytics
Azure SynapseAzure Synapse
Data ModelingData Modeling
3+
Ingenico

Global Data Analyst

Ingenico
Retail
Oct 2019 - Dec 2023 · 4y 2m
  • 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.
DatabricksDatabricks
Microsoft Power BIMicrosoft Power BI
Data ScienceData Science
Data EngineeringData Engineering
JiraJira
5+

Engineering excellence

All Data Engineers who have applied to Proxify are scored from 0 to 300 on engineering excellence, one of the five parameters we evaluate. This score reflects engineering excellence only, based on interviews, take-home assignments, live coding sessions, and/or on-the-job performance reviews. The curve shows how all evaluated Data Engineers are distributed across that range, where our acceptance threshold for this parameter sits, and where Momo stands.

050100150200250300Engineering excellence scoreShare of engineersmedianmeanProxifyacceptancethreshold
Momo
Score 196 · Top 8% of engineers

Education

PU-
PACE University - Lubin School
Markets Finance2018 - 2019
ÉSD
École supérieure d'ingénieurs Léonard-de-Vinci
Data engineering2014 - 2019

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