Über Vishal Kumar
I help companies design, build, and scale cloud-native data platforms that turn complex, high-volume data into reliable, analytics-ready insights. With 5+ years of hands-on data engineering experience, I specialise in GCP and AWS, building robust ETL/ELT pipelines, data warehouses, and event-driven architectures that perform at scale.
I typically work on end-to-end data projects—from data ingestion and orchestration to modelling, optimisation, and production deployment—using tools like BigQuery, Airflow, dbt, Pub/Sub, Terraform, Docker, and Kubernetes. I also support AI and GenAI use cases, including LLM integrations and automation workflows.
If you’re looking for a reliable, detail-oriented Data Engineer who can solve complex data problems and deliver production-ready solutions, let’s connect.
Englisch
Muttersprachlich oder zweisprachig
Vor Ort möglich
Berlin (bis zu 50 km)
Projekt- und Berufserfahrung
- PAYBACKData EngineerFebruar 2025 - Heute (1 Jahr und 4 Monate)Berlin, Germany– Develop and maintain Data pipelines to support ELT of data from diverse sources into our Data warehouse.– Designed and maintained cloud-native data pipelines on Google Cloud Platform for large-scale data processing.– Worked extensively with BigQuery, Cloud Composer (Airflow), Pub/Sub, Cloud Functions, Workflows, and Cloud Storage.– Built event-driven and batch processing pipelines to support analytics and business use cases.– Managed and provisioned data infrastructure using Terraform, following infrastructure-as-code best practices.– Solved complex data problems related to data quality, scalability, and performance optimization.– Handled very large datasets, ensuring reliable and production-grade data systems.– Collaborated with cross-functional teams to translate business requirements into scalable data solutions.
- Seven SendersData EngineerApril 2022 - Februar 2025 (2 Jahre und 10 Monate)Berlin, Germany– Develop and maintain Data pipelines to support ETL of data from diverse sources into our Data warehouse.– Design and manage models in DBT.– Work with Docker, Kubernetes for containerization. – Maintain Warehouse utilization with optimized queries.– Use AWS for designing and optimizing cloud solutions.– Integrate CI/CD practices into the development lifecycle.– Write Complex queries for business models in SQL/NoSql.– Work with infrastructure-as-code tools such as Terraform.– Create AI chatbot, which connects LLM to Snowflake in Stream lit.
- OmniusData EngineerMärz 2020 - März 2022 (2 Jahre)Berlin, GermanyCreated and managed data models, ensuring data integrity, consistency, and accuracy. Maintained Data analysis code written in Python. Worked with other data scientists to assist on feature engineering, data modeling. – Utilized PySpark solutions for processing and analyzing big data.– Implemented the ingestion of real-time event using Kafka.
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Ausbildung und Abschlüsse
- Master of Science in Data ScienceUniversity of Potsdam2023Master of Science in Data Science
- Bachelor of Engineering in SoftwareMehran University of Engineering and Technology2017Bachelor of Engineering in Software