Senior Data Engineer & Applied AI Engineer
Skills
Technology experience, project responsibilities and related certifications.
Data platform architecture
PVH: 500+TB AWS platform. ENYQUANT: cloud and electricity-market data platform.
Project responsibilities
- PVH (2020–2022, 2023–2025): platform architecture responsibilities in a core team of about ten; Adobe, Salesforce and SAP integrations, config-driven ETL, data-quality checks and cross-timezone scheduling.
- ENYQUANT (2026): responsibility for cloud and data-platform architecture, code, deployment and operations using Airflow, DuckDB, Polars, DuckLake and object storage.
- Azure
- Alibaba Cloud
- Airflow
- DuckDB
- Polars
- DuckLake
Idempotent ETL & reliability
PVH: config-driven, idempotent ETL, data quality, observability and scheduling.
Project responsibilities
- PVH (2020–2022): developed config-driven, idempotent production ETL with consistent target data when processing the same input again.
- Responsibilities included pipeline data-quality checks, operational observability and cross-timezone scheduling.
- Python
- SQL
- Spark
- Airflow
- AWS
- Idempotent ETL
SQL & data pipelines
PVH: SQL, YAML contracts, validation and an Airflow DAG factory.
Project responsibilities
- PVH (2023–2025): integrated analyst SQL into production delivery and developed YAML contracts, static validation, data-quality checks and a DAG factory.
- Compared old and new outputs before adoption; the platform supported 60+ dashboards.
- SQL
- YAML
- Airflow
- Data contracts
Spark & performance
Spark / PySpark and Python since 2016; projects on HDP, EMR and GKE.
Experience dates
Python · Spark / PySpark: since 2016
Project responsibilities
- KPN: Hive/Spark ETL development and Hortonworks HDP cluster installation and operations.
- ABN AMRO: Python/Spark/Hive pipelines and Hive-to-PySpark workload migration.
- FedEx: Spark/EMR ETL development and operations; deployed, migrated and ran Spark on an existing GKE cluster with Kubernetes YAML and kubectl.
- PVH: Spark production ETL development. VodafoneZiggo: evolution of the existing Scala/Spark ETL framework.
Related certifications
- Databricks Certified Associate Developer for Apache Spark 2.4 · 2020-11
- PCAP – Certified Associate in Python Programming · 2021-09
- Spark
- PySpark
- EMR
- GKE
Cloud & infrastructure
AWS, Azure, GCP and Alibaba Cloud: experience dates, platform responsibilities and certifications.
AWS
Since 2018FedEx · PVH · VodafoneZiggo
- FedEx: AWS infrastructure management with Terraform and Spark/EMR ETL development.
- PVH: architecture and development on a 500+TB data platform, idempotent ETL and event-driven serverless workflows.
- VodafoneZiggo: built and operated DMS full-load and CDC tasks. Terraform use started in 2018.
Certification (issued → expiry) · AWS Certified Solutions Architect — Associate · 2020-10 → 2023-10
Azure
2024 · 2026PVH (2024) · ENYQUANT (2026)
- PVH: Azure Databricks solution reviews and data-platform migration support.
- ENYQUANT: owned platform design and implementation from zero, covering Azure Databricks, Microsoft Foundry (formerly Azure AI Foundry), Azure Data Factory, ADLS, relational databases and Azure Functions.
- Responsible for networking, Key Vault, Microsoft Entra ID and permissions, Azure Monitor observability, Terraform infrastructure as code and CI/CD.
Certification (issued → expiry) · Databricks Certified Data Engineer Associate · 2024-12 → 2026-12
GCP
2019–2020 · 2024FedEx (2019–2020) · PVH (2024)
- FedEx: managed GCP infrastructure with Terraform and developed BigQuery workloads; deployed, migrated and ran Spark on an existing GKE cluster with Kubernetes YAML and kubectl.
- PVH: used BigQuery and Cloud Storage in the data-platform project.
Alibaba Cloud
Since 2026ENYQUANT (2026)
- Designed, built, deployed and operated the Alibaba Cloud platform from zero, with full implementation and operational responsibility.
- Scope covered storage, RDS relational databases, VMs, networking and serverless functions.
Quality & delivery automation
VodafoneZiggo: PowerCenter conversion and GitLab CI/CD checks for 40+ developers.
Project responsibilities
- VodafoneZiggo (2022–2024): integrated PowerCenter workflow conversion, preflight validation and migration checks into GitLab CI/CD for at least 40 developers.
- KPN (2016–2018): developed system-health checks with Robot Framework and automated infrastructure and delivery tasks with Python, Ansible and Jenkins.
- GitLab CI/CD
- PowerCenter
- ETL validation
CDC & platform migration
VodafoneZiggo: AWS DMS Full Load + CDC; hundreds of TB from Oracle to Snowflake.
Project responsibilities
- VodafoneZiggo (2022–2024): built and operated AWS DMS full-load and CDC tasks as a cloud administrator and data engineer, supporting a hundreds-of-terabytes Oracle-to-Snowflake migration.
- Contributed to the existing Scala/Spark ETL framework and migration technical support.
- AWS DMS
- CDC
- Oracle
- Snowflake
- Scala
- Spark
MLOps enablement
JupyterHub, MLflow, production Spark jobs and training-data time semantics.
Project responsibilities
- VodafoneZiggo: built JupyterHub + MLflow services for 4–5 data scientists.
- FedEx: operated JupyterHub and productionised and tuned Spark analytical code written by data scientists.
- ENYQUANT: defined point-in-time visibility for historical training data and implemented snapshot-bound readback and data checks.
- JupyterHub
- MLflow
- Python
- Spark
- Point-in-time data
Agent architecture & governance
ENYQUANT: team contracts, shared capability interfaces, permissions and resource coordination.
Experience dates
ENYQUANT · 2026
Project responsibilities
- Designed team contracts, shared capability interfaces and discovery, adoption, contribution and release workflows for the company AI collaboration repository.
- Maintained agent permissions, shared-resource coordination and delivery-evidence rules; consolidated duplicate instructions and recorded capability ownership.
- AI Agents
- Skills
- Plugins
- Context Design
- Resource Coordination
Agent validation & tooling
ENYQUANT: Python validation CLI, Docker distribution, contract checks and structured reports.
Experience dates
ENYQUANT · 2026
Project responsibilities
- Developed a Docker-distributed Python validation CLI connecting development contracts, test selection, source-sampling plans and structured reports.
- Checked code versions, contracts and sources, with rejection paths for incorrect intervals, units, members and missing evidence.
- Designed dual-architecture image checks and release gates; design and execution status are recorded separately.
- Python CLI
- Docker
- Contract Validation
- Structured Reports
- CI/CD
Agent workflows & shared delivery
ENYQUANT: three shared Skills for data development and source understanding.
Experience dates
ENYQUANT · 2026
Project responsibilities
- Packaged data development and source understanding into three shared Skills with merged source; defined inputs, tool versions, permissions, acceptance evidence and stop conditions.
- Updated environment discovery, UTF-8 reading and blocked-execution handoffs using feedback from another member’s Windows/WSL agent trials.
- AI Agents
- Skills
- Plugins
- Workflow Engineering
- Behavioral Validation