Graduated with foundations across statistics, probability, machine learning, deep learning, NLP, data mining, and big data. Coursework in Java, Python, R, SQL, Hadoop, Spark, OLAP, and linear algebra, with applied projects in customer analytics, A/B testing, multivariate analysis, and distributed data processing.
Tomas Baidal
Data Platform Engineer
Berlin, Germany
Data Platform Engineer who owns ingestion, warehouse, transformation, BI, scheduling, and governance end-to-end. Currently rebuilding MILES Mobility's platform in Berlin—solo data engineer on a small team, shipping with Terraform, dbt, and observability built in. Previously scaled analytics infrastructure at Trade Republic Bank. Bachelor's in Applied Data Science from UOC.
Experience
- Own the data platform end-to-end: ingestion, warehouse, transformation tooling, BI, scheduling, observability, and governance—as the sole data engineer on the team.
- Led rearchitecture of AWS and Snowflake with Terraform (IaC); migrated legacy systems, deployed Airbyte OSS and custom connectors, and run platform services on EKS (Metabase, OpenMetadata, Cube, Temporal, Langfuse).
- Built the governed analytics layer: dbt models with tests, Cube as semantic layer, OpenMetadata for lineage and cataloguing, and Metabase for BI—so metrics are reproducible and auditable.
- Orchestration with Temporal and GitLab CI/CD; Kafka for event-driven ingestion where stream processing fits the use case.
- Applied AI selectively on the platform itself—Langfuse for LLM observability, automated triage workflows, and internal agentic tools—where tasks are repeatable and verifiable.
Snowflake · dbt · Cube · Terraform · Kafka · Temporal · Airflow · Airbyte · AWS EKS · Metabase · OpenMetadata · Langfuse · GitLab CI/CD · Python
- Designed and maintained ELT pipelines on AWS and Airflow at scale across millions of customers—batch ingestion into Snowflake with dbt transformations and tested models.
- Built operational datasets in dbt covering customer care KPIs, agent performance, and metrics surfaced through Looker and Metabase.
- Led technical ownership of Zendesk: platform architecture, custom app development, and workflow automation via Zendesk Integration Services (ZIS).
- Integrated third-party platforms (NextMatter, AI chatbot tools) via REST APIs; partnered with product engineering on event data and operational automation.
AWS · Airflow · dbt · Snowflake · Looker · Metabase · Zendesk ZIS · Python
- Owned the Customer Service technology stack, including Zendesk administration, UltimateAI configuration, and API integrations with third-party tools.
- Automated repetitive support workflows and built custom Zendesk apps to improve agent efficiency and data quality.
- Acted as the technical bridge between the CX team and engineering, translating operational needs into scalable platform solutions.
Zendesk · UltimateAI · API integrations · Python
Stack
- Languages
- Python · SQL · R · Java
- Warehousing & OLAP
- Snowflake · Redshift · PostgreSQL · MongoDB
- Transformation
- dbt · Spark · Hadoop
- Stream & Orchestration
- Kafka · Airflow · Temporal · GitHub Actions
- Cloud & IaC
- AWS (EKS, S3, Lambda, Glue) · Terraform
- DevOps
- Docker · GitLab CI/CD · Git · Terraform
- BI & Semantic Layer
- Metabase · Cube · Looker · Superset
- Governance & Observability
- OpenMetadata · data contracts · lineage · Langfuse
Certifications
Education
Volunteer
Taught Python, Statistics, and Machine Learning to newcomers and locals as part of ReDI's free tech education program — a non-profit focused on digital skills and job integration for underrepresented communities in Germany.
Languages
- Native
- Spanish · Catalan
- Professional
- English · German (C1)