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Bassirou S.BS

Bassirou S.

Data Migration Specialist | Big Data Engineer

€722/day
Paris, FR
3-7 years
Airflow
Spark
Python
SQL
DBT

Average response time: 1 hour

Freelancer profile translated to English.
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About Bassirou

Specializing in data migration projects, I have successfully led several migrations from on-premises infrastructures to the Cloud and vice versa, as well as transitions between various data technologies. My expertise includes migrating data pipelines, ETL processes, and orchestration tools, which has led to significant cost reductions, at least 30% in my previous projects.

I possess strong skills in Cloud (GCP, AWS), SQL, DBT, Python, Scala, Spark, and streaming pipelines (Kafka, PubSub).

I make your data pipelines robust, fast, and cost-effective through my deep understanding of database systems, my test-driven approach, and automation via CI/CD. I am business-oriented, taking business needs into account to create the best solutions.

Key Skills:

  • Data Migration: On-premises to Cloud, Cloud to on-premises, technology transitions (e.g., Spark to DBT, Nifi to Airflow)
  • Data Technologies: Apache Spark, DBT, Apache NiFi, Kafka, Apache Airflow, Dataproc, Hive, HDFS
  • Cloud: GCP, AWS, Cloud Run, AWS Lambda
  • Programming Languages: Python, Scala, SQL, Java
  • CI/CD & Automation: Gitlab CI/CD, Github Action, Ansible, Jenkins, Terraform
  • Data Visualization: Power BI, Qlik
  • Database Management: BigQuery, Cassandra, Solr, MongoDB, ElasticSearch
  • Batch and real-time processing with Spark, DBT, Kafka, PubSub
  • Data Architecture
  • Data Modeling
Digital and IT Services
E-commerce
Sports
Luxury Goods
Large Retailers

  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km), Nantes (up to 50km), Rennes (up to 50km), Lyon (up to 50km)

Experience

  • Legallais
    Senior Data Engineer
    CIVIL ENGINEERING
    November 2023 - February 2024 (3 months)
    Caen, France
    Mission Objective: Implementation of Legallais data ingestion and processing flows using NIFI, Spark, Airflow to populate the Google Cloud Platform Data Lake and Qlik for Data Visualization.

    Achievements:

    • Ingestion of data sources via NIFI into the Data Lake in Parquet format.
    • Implementation of the first unit tests for Spark code using the Scalatest library.
    • Configuration of Spark applications in different environments (dev and prod).
    • Setup of the entire Logistics flow with the creation of models for data visualization.
    • Task scheduling using Airflow Python.
    • Implementation of an Airflow library to manage cluster launches.
    Python Spark AR Scalability GCP Cloud Dataproc Cloud SQL TDD/BDD Functional Programming Apache NiFi
  • ORANGE
    Senior Data Engineer
    TELECOMMUNICATIONS
    May 2024 - Today (2 years and 1 month)
    Issy-les-Moulineaux, France
    Mission Objective: Migrate all data pipelines from Cloudera Hive, HDFS, Hadoop to GCP BigQuery, DBT, GCS, Composer (Airflow), PubSub from scratch.

    Achievements:

    • Acquisition of source data with Cloud Function, PubSub, GCS.
    • Implementation of a routing pipeline with Airflow (Python) to route source files to destination projects.
    • Development of a Python library to load data into BigQuery based on use cases.
    • Writing Airflow DAGs in Python to schedule data processing.
    • Transformation of raw data into data marts with DBT.
    • Development of CI/CD pipelines with GitLab CI/CD.
    • Automation of GCP resource builds with Terraform.
    • Close collaboration with the business to better understand needs and propose suitable solutions.
    Python Development GCP Cloud BigQuery Airflow Google Composer Cloud Computing Terraform Gitlab CI/CD Cloudera Starburst TDD/BDD SQL DBT Apache NiFi CI/CD
  • Kering
    Kering Big Data Developer
    LUXURY GOODS
    December 2020 - April 2024 (3 years and 5 months)
    Paris, France
    Mission Objective: Implementation of data ingestion and processing flows via NIFI, Spark, Kafka, Airflow, exposed in caches (Cassandra, Solr) through an API (Node.js).

    Achievements:

    • Migration of processing to AWS Cloud.
    • Batch and real-time processing via Kafka and Spark.
    • Deployment of real-time Spark applications with Jenkins.
    • Anonymization of customer information in compliance with GDPR.
    • Automation and continuous integration
    Scala Spark Python SQL Apache Kafka Apache NiFi AWS Airflow TDD/BDD Functional Programming Github Actions
Check out Bassirou's experience

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Education

  • Scientific Preparatory Class
    INSA Hauts de France
    2016
  • Computer Engineering, Big Data Option
    Institut National des Sciences Appliquées (INSA) de Rennes
    2019

Certifications

  • Google Cloud Professional Data Engineer
    Google
    2021

Skill set

CI/CD Management
Cloud Integration
Terraform
Java
Extract, Transform, Load (ETL)
Algorithms and Data Structures
Batch Processing
Cloud Platforms and Infrastructure
Database Management (e.g., SQL, NoSQL)
Data Cleaning and Preprocessing
Data integration (ETL, ELT and data warehousing)
Data Integrity and Governance
Data Migration and Backup
Data Pipelines and Warehousing
ETL (Extract, Transform, Load) Processes
GCP
Docker
Machine Learning
Apache NiFi
AWS
Scala
External API integration
Backend Service Development
Front End Interface Development
Performance Optimization
Testing and Quality Assurance
Cloud Administration
Containerization and Virtualization
Infra as Code
Scripting Automation
Serverless Computing
SRE Principles
Test Environment Management
Data Privacy (GDPR, CCPA)
Least Privilege Principles
Web scraping
Data Visualization
Exploratory Data Analysis
KPIs and Metric Definition and Monitoring
User Segmentation
Feature Engineering
Machine Learning Theory
Natural Language Processing (NLP)
Recommender Systems
Real-time Processing
Python Development
GCP Cloud
BigQuery
Google Composer
Cloud Computing
Gitlab CI/CD
Cloudera
Starburst
TDD/BDD
CI/CD
Spark AR
Scalability
Dataproc
Cloud SQL
Functional Programming
Apache Kafka
Github Actions
Hive
Oozie
Power BI
SAS

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