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Maathess KothandapaniMK

Maathess Kothandapani

Data & Analytics Engineer⚡ | "Data to Value" maker

€678/day
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Maathess

🎯 My mission?

Transform your data infrastructure into a profitability lever. I don't build dashboards for "decoration", I build decision-making systems. I align your technical stack with your business objectives so that every line of code serves your P&L.

🏗️ My approach: Value Engineering

Many companies accumulate data without knowing how to leverage it. My role is to be the bridge between your business needs and technical complexity.

1. Strategy & ROI(Lean Analytics)
You don't know what to measure?
I identify your "One Metric That Matters" (OMTM) and deploy the appropriate solutions to track it and create value.

2. Engineering & Pipelines(The Value Pipeline)
Is your data scattered?
I build robust pipelines (Modern Data Stack) to unify your flows and ensure 100% reliable and actionable data. Expertise: AWS, GCP, dbt (Cloud & Core), Airbyte, Airflow.

3. Automation & AI(Operational Efficiency)
I eliminate time-consuming manual tasks by automating your business processes (Python, App Script, Airtable, n8n) to free up your teams' time.

🛠️ My Tech Stack

  • **Methodology**: Lean, Agile
  • **Cloud**: AWS, GCP (and Azure)
  • **Data Warehouse**: BigQuery, Redshift, Snowflake
  • **ETL/ELT**: Stitch, Aribyte, dbt (Cloud & Core), Airflow
  • **Languages**: Python, Advanced SQL (⏳Scala Spark)
  • **Data Visualization**: Looker Studio, Metabase, Superset
  • **Infrastructure & CI/CD**: EC2, Docker, GitHub Actions, Better Stack
  • **Business & IT Tools**: Google Workspace, Sellsy, Jira, Pennylane, Airtable

🚀 Ready to take it to the next level?

Available from January 2026 to structure your growth. I adapt my intervention format to your challenges: from a one-off strategic audit to long-term support.

Let's discuss your project and see how to transform your data into a real competitive advantage.
  • French

    Native or bilingual

  • English

    Fluent

  • Tamil

    Native or bilingual

Can work on-site
Paris (up to 50km)

Experience

  • Nickel
    Analytics Engineer
    BANKING AND INSURANCE
    February 2026 - Today (6 months)
    Charenton-le-Pont, France
    Client support on the following aspects:
    • Optimization of the dbt architecture, migration of models and adoption of best practices
    • Translation of business needs into robust and performant models
    • Implementation of tests (schema, data, custom) and CI/CD, proactive anomaly detection
    • Automation of workflows with Python and integration of AI agents (Gemini) in tribes
    • Support for Data Champions: skills development on dbt and data tools, workstation configuration, integration of new features
    • Animation of the data community and continuous improvement of the ecosystem
    • FinOps Supervision (GCP Invoice: primarily BigQuery usage): Cost saving workshop, guarantor of best practice application
    DBT SQL BigQuery Generative AI FinOps
  • Lemon Tri
    Freelance Data & IT Engineer
    LOGISTICS AND SUPPLY CHAIN
    July 2025 - January 2026 (6 months)
    Pantin, France
    Support for the client in their "Data driven" strategy

    • Implementation of an automated actual billing system
    • Development and maintenance of data pipelines
    • Data modeling based on the "medallion" architecture principle
    • Design of data deliverables (KPIs, dashboards)
    • Support for business teams to optimize the management of their activities and the definition of KPIs to track
    • Development of APIs and maintenance of data flows from sorting machines.
    DBT Google Cloud Python Looker Studio Metabase
  • Lemon Tri
    Lead Data & IT
    LOGISTICS AND SUPPLY CHAIN
    January 2020 - June 2025 (5 years and 5 months)
    Pantin, France
    During this experience, I quickly found my footing and progressively took on responsibilities to manage the Data and IT domains of the company. As part of a team of 4 people (2 freelancers, 1 intern, and myself), I was in charge of the entire company's IS, which includes 120 employees, 8 business units, spread across 4 national branches.

    My expertise:

    • *Data Engineer*: Implementation of a data platform and a modern data platform, data ingestion, data pipeline orchestration, data platform maintenance (scalability, cost management)
    • *Analytics Engineer*: Data modeling (medallion principle), data model documentation
    • *Data Analyst*: Implementation of dashboards/KPIs, BI tool administration
    • *Data Steward*: Support for teams in managing their activities and monitoring indicators
    • *Data Product Engineer*: Implementation of data products (e.g., automated actual billing, workflow automation)
    • *IT*: Re-internalization of IT asset management, formalization and application of new IT processes, management of an IT team (2 employees), centralization of company activities in the Google Workspace environment (GCPW, MDM, etc.)
    • *IoT*: Python development on Raspberry Pi

    My technology stacks:

    • Cloud: AWS (RDS, Redshift, EBS, EC2), GCP (Dataform, Big Query), OVH
    • Data Engineer: Python (API, ETL), Stitch Talend, Data Warehouse (Redshift, Big Query), Better Stack, GitHub CI/CD, Airtable, Docker
    • Analytics Engineer: dbt (cloud & core), Advanced SQL
    • Data Analyst: Metabase, Looker Studio, Google Sheet (App Script), Excel
    • Other tools: Sellsy (CRM), Pennylane
    • IT: Google Workspace console, Meraki
    • IoT: Balena Etcher, Putty, Vendon (Telemetry)
    A diverse and in-depth experience that supports my desire to contribute to a company's strategy, beyond my data expertise.

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Education

  • Master of AI and Big Data - Data Science Specialization
    ESGI
    2022
    (Unsupervised) Deep Learning, (Deep) Reinforcement Learning, IA et support robotique, NLP, Développement R (optimisation et ACP) & Scala , Cryptographie, Cloud et Big Data, DevOps & Sécurité du Big Data, Reporting et restitution , Méthode Agile : Scrum & Gestion de projet SI, Droits de l'informatique, Sciences de l’ingénieur (Machine Learning, Deep Learning, maths for Data, recherche opérationnelle), Développement (Python avancé, Java avancé, C avancé, algorithmique avancé), Bases de données et Big Data (BDD relationnelles, Hadoop, NoSQL, SQL avancé), Systèmes et réseaux (Linux administration avancé, préparation certification Cisco CCNA1)

Certifications

  • TOEIC
    ETS EMEA
    2021
    English

Skill set

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