Über Kaleab Ejigayehu
I'm a Berlin-based Data Engineer and Analytics Engineer with several years of experience building end-to-end data platforms, from ingestion pipelines and cloud data warehouses to BI dashboards and analytics layers.
My core stack includes Snowflake, dbt, Azure, Python, and Power BI. I've worked on enterprise-grade projects including Data Vault 2.0 architectures, DataOps practices, and full-stack data platforms for both corporate and non-profit clients.
I care about data quality, clean modeling, and building infrastructure that teams actually trust and use. I work well independently and communicate clearly with both technical and non-technical stakeholders.
Open to freelance and contract engagements in data engineering, analytics engineering, and data platform work.
Englisch
Muttersprachlich oder zweisprachig
Vor Ort möglich
Berlin (bis zu 50 km)
Projekt- und Berufserfahrung
- Solita GmbHData EngineerGROSSHANDELJanuar 2022 - Oktober 2025 (3 Jahre und 9 Monate)Berlin, Germany• • Architected and implemented a fully layered cloud data platform on Snowflake: raw ingestion → Data Vault 2.0 (Hubs, Links, Satellites) → denormalized publish layer optimized for BI consumption.• • Built and maintained incremental ETL/ELT pipelines using Azure Data Factory with timestamp-based watermark loading of Parquet and CSV sources, ensuring efficient daily data loads at scale.• • Implemented DataOps practices including automated data quality tests, duplicate detection, domain specific validation logic, and real-time Slack alerting for pipeline failures.• • Optimized Snowflake platform costs using transient tables, clustering keys, and query performance tuning, contributing to measurable infrastructure cost reduction.• • Delivered Power BI dashboards on top of publish layer tables, translating complex data vault models into clean, stakeholder-ready analytics products.• • Maintained full dev/prod environment parity with nightly automated promotion, reducing deployment errors and ensuring reliable business operations.• • Coordinated cross-team data quality accountability with upstream API teams, establishing end-to-end pipeline ownership and incident resolution processes.• • Managed SQL environments using SSMS for scheduling, stored procedures, and version-controlled pipeline logic.
- NGO Development AssociationData ConsultantVEREINE & GEWERKSCHAFTENJuni 2020 - Dezember 2021 (1 Jahr und 6 Monate)Addis Ababa, Ethiopia• • Designed and delivered a full-stack data and analytics platform covering both operational and analytical workloads end-to-end.• • Built the operational layer using Django, ReactJS, and PostgreSQL hosted on Heroku, providing a robust backend for data collection and management.• • Implemented the analytical layer with dbt for ELT modeling and Power BI for stakeholder-facing dashboards, enabling data-driven decision making across the organization.• • Automated CI/CD pipelines with GitHub Actions, ensuring reliable and repeatable deployments across both layers.
- Solita ABData EngineerJanuar 2019 - Januar 2020 (1 Jahr)Stockholm, Sweden• • Designed and deployed scalable ETL pipelines on AWS and Azure for enterprise clients, implementing star schema data models optimized for BI performance.• • Built Apache Spark and Databricks pipelines for a large-scale computer vision project, processing image datasets and implementing data augmentation to generate training data at scale.• • Created Tableau dashboards and optimized SQL query structures for performance and cost efficiency across cloud data warehouses.
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Ausbildung und Abschlüsse
- M.Sc. Internet Technology and ArchitectureTU Berlin & KTH Stockholm2015M.Sc. Internet Technology and Architecture
- B.Sc.Mekelle Institute of Technology2010B.Sc.
Zertifizierungen
- Azure Data Engineer Associate – 2024Microsoft2025
- Databricks Certified Data Engineer AssociateDatabricks2026