Data pipelines & ETL/ELT
Design and implement robust pipelines from product databases or APIs into a central warehouse or data lake. Automated, monitored, version-controlled.
Available for data and cloud projects
I build reliable data pipelines and data infrastructure for modern teams.
I am , an independent data engineer running a one-person company called MielDev. I help teams design, build and maintain data platforms and automated reporting on AWS with Python, SQL and dbt, so the rest of the company can rely on consistent, well-modeled data.
AWS · Python · SQL
dbt · Airflow
Data warehouses · ETL/ELT
DM
MielDev
Independent Data Engineer
- Name
- Role
- Data Engineer
- Location
- Remote · EU-friendly timezones
- Core stack
- Python, SQL, AWS, dbt, Airflow
- Phone
What I can help you with
I join teams as a focused data engineer to unblock delivery, stabilise data quality and make the data behind reports and dashboards actually trustworthy.
Analytics-ready models
Build dbt models and semantic layers so that analysts and stakeholders have one source of truth for revenue, churn, activation, and other core metrics.
Cloud data platforms
Set up or refactor AWS-based data platforms with proper IaC, permissions, cost-awareness and sane monitoring, so things do not break silently.
Tech I use
Cloud
AWS (S3, Athena, Glue, Redshift)
GCP, Azure
Data engineering
Python, SQL
dbt, Airflow, Spark
Storage & warehouses
PostgreSQL, Redshift, Athena
Parquet, MongoDB
Ops & tooling
Git, CI/CD
Docker, Github Actions, GitLab CI/CD
Selected work
A few examples of the type of work I do. Full details available on request.
AWS · dbt · Airflow
Revenue reporting platform for subscription business
Designed and implemented end to end data flow from production systems into a warehouse and dbt models powering finance and product reporting.
- Daily pipeline with monitoring and alerting
- Single source of truth for MRR and churn
- Faster month-end closing for finance
Python · SQL · Automation
Automated reporting for operations and support
Built a series of automated reports and quality checks so that operations and support teams could stop manually stitching data in spreadsheets.
- Data quality checks before reports are sent
- Error routing to data team instead of customers
- More confidence in daily metrics
About MielDev
MielDev is the one-person data engineering company. I combine a software engineering mindset with analytics thinking to help teams build reliable, understandable data stacks instead of fragile pipelines and mysterious dashboards.
I enjoy working closely with product, analytics and finance stakeholders, translating their questions into concrete data models and robust, well-tested pipelines. I focus on the data platform and automated reporting, so that whichever BI tools you use can rely on clean, consistent inputs.
Get in touch
If you want to talk about data engineering roles, collaboration with your existing team, or a specific data problem around pipelines and infrastructure, feel free to reach out. I usually reply within one business day.