À propos de Sai Kumar
En tant que Data Engineer indépendant, je propose des solutions efficaces basées sur les données et suis enthousiaste à l'idée de collaborer avec des clients valorisant cette approche. Passionné par les missions difficiles, j’utilise mon expertise pour construire des systèmes de traitement de données robustes qui répondent à des problèmes complexes. Collaborons et transformons vos données en informations exploitables qui feront progresser votre entreprise. Grâce à mon expérience et à mes compétences, je suis certain de pouvoir vous aider à atteindre vos objectifs et à mettre les données à votre service.
Français
Capacité professionnelle limitée
Anglais
Capacité professionnelle complète
Hindi
Bilingue ou natif
Accepte de travailler sur site
Paris (jusqu’à 50 km)
Expériences
- MediaPerformanceCloud Data Engineer(GCP)COMMERCE DE DÉTAILavril 2023 - juillet 2023 (4 mois)Paris, France● Utilizing Google Cloud Platform services including BigQuery, Dataform, Workflows, and Cloud Run.● Developed and managed scalable data infrastructure, orchestrated efficient schedules and alert systems.● Applied SQL and Python for sophisticated data manipulation, and leveraged FastAPI for robust API creation.● Driving data-driven decisions and enhanced system integration across the organization.
- OdicisProject Data EngineerCONSEIL & AUDITaoût 2022 - Aujourd'hui (3 ans et 10 mois)Paris, France● Developed data extraction, cleaning, transformation, and loading programs optimized for big data platforms to efficiently move large volumes of data from source systems to data warehouses.● Extracted and processed large volumes of data from transactional systems, and built scalable ETL pipelines and analytical systems on big data platforms such as Snowflake.● Utilized big data platforms like AWS to ingest, store, and transform large volumes of data using tools such as Glue and Spark.● Created and maintained big data dashboards using Tableau and QuickSight to provide insights and meet business requirements on an ad-hoc basis.● Implemented CI/CD using GitLab for big data pipelines to enable continuous integration and deployment of data-driven applications.
- Analytics MindedBig Data ConsultantE-COMMERCEfévrier 2022 - juillet 2022 (5 mois)Belgique● Developing data pipelines using Airflow and various AWS services to ensure efficient and reliable data movement.● Incorporating quality checks into existing data pipelines to ensure data accuracy, completeness, and consistency.● Utilizing Apache Spark to perform data transformations based on specific use cases, ensuring the data is in a format that can be easily analyzed.● Conducting data analysis using tools such as Athena and Databricks, depending on the specific use case.● Implementing Continuous Integration and Continuous Deployment (CI/CD) processes using Jenkins to ensure smooth and automated deployment of data-driven applications.
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Formations
- Master of EngineeringTrendytech2022Master's degree, Big Data Engineering
- Master of International BusinessInstitut Technique superieur du Management International. (ITSMI)2019Master's degree, International Business Management
Certifications
- AWS Certified Cloud PractitionerAmazon Web Services2022
- DataCampData Engineer with Python2021