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Data pipelines built.
Explained clearly.

Need accurate technical content about backend data systems? Or a data engineer who can build and document the whole thing? I do both. Four years building ETL/ELT pipelines, data warehouses and cloud data platforms, plus writing long-form engineering articles for developer audiences.

Work with me → Read my articles
~ nevenka.profile
Nevenka Lukic
roleData Engineer / Tech Writer
currentEstuary · Technical Writing
experience4 years
certData Engineering · AI Dev Tools
locationMálaga, ES · remote
statusavailable
4+
Years in data
20+
DE & AI tools
5
Languages spoken
35+
Articles published
01

How I can help

I work with data teams and content teams. Some need a pipeline built. Some need an article that explains how their pipeline works. Some need both. Here is where I spend my time.

[ DATA ]

Data Engineering

ETL/ELT pipelines, data warehousing and cloud data platforms built with Python, SQL and Azure. From raw sources to clean, reliable data your teams can actually use.

[ WRITE ]

Technical Writing

Long-form backend and data engineering articles that explain real architecture decisions, trade-offs and failure modes. Built from production experience, validated against official documentation.

[ BI ]

BI & Analytics

SQL queries, Power BI dashboards and data warehouse solutions that cut time-to-insight. Reporting that gives business teams answers without waiting for an engineer.

[ CLOUD ]

Cloud & DevOps

Azure and GCP data infrastructure, Azure DevOps automation, Docker and Git workflows. Building systems your team can own and maintain after the engagement ends.

02

Projects

Selected open-source projects covering data engineering pipelines, cloud infrastructure, machine learning and full-stack development.

[ DUCKDB · ICEBERG · DOCKER ]

DuckDB Iceberg Pipeline

Two end-to-end data pipelines demonstrating modern lakehouse patterns — local Parquet processing and an Iceberg REST catalog with MinIO, all containerised with Docker.

View on GitHub →
[ GCP · BIGQUERY · MAGE · TERRAFORM ]

Air Quality Pipeline

End-to-end cloud data pipeline pulling weather and air quality data from public APIs into GCS and BigQuery, orchestrated with Mage and provisioned with Terraform IaC.

View on GitHub →
[ PYTORCH · HUGGING FACE · NLP ]

AI Course Workspace

Progressive ML workspace from Python fundamentals through neural networks to a DistilBERT sentiment analysis capstone using PyTorch and Hugging Face Transformers.

View on GitHub →
[ FASTAPI · REACT · POSTGRESQL · DOCKER ]

Meeting Decision Tracker

Production-deployed full-stack app for capturing meeting decisions, action items and ownership. Built with FastAPI, React, PostgreSQL and Docker, with a live demo on Render.

View on GitHub →
03

Articles I've written

Backend and data engineering content for developer audiences. Published on Estuary and Medium's Towards Data Engineering publication.

[ ESTUARY ]

BYOC for Data Infrastructure: Why Deployment Flexibility Matters

Why enterprises are moving toward Bring Your Own Cloud models for data infrastructure, and what that means for architecture decisions, security and compliance.

Read article →
[ ESTUARY ]

Why Enterprises Need a Data Movement Layer

A look at why pipelines alone are not enough for enterprise data teams, and what a dedicated data movement layer actually gives you at scale.

Read article →
[ TOWARDS DATA ENGINEERING ]

Enterprise Data Pipeline Controls: Security, Auditability, and Compliance

A practical checklist covering the security, auditability and compliance controls that enterprise data pipelines need in production — with trade-off analysis for each.

Read article →
[ TOWARDS DATA ENGINEERING ]

Cloud Sovereignty: Navigating BYOC, Private Deployments, and Public SaaS

How to think through cloud sovereignty requirements — comparing BYOC, private deployment and public SaaS models across compliance, cost and operational complexity.

Read article →
04

Where I've worked

From building SQL Server warehouses at PwC Stockholm to writing pipeline architecture articles for Estuary's developer audience, with a data consultancy in between.

2025-nowRemote

Estuary

Freelance Technical Content Writer

Writing research-driven backend engineering articles for Estuary's technical blog and developer audience. Topics include enterprise data infrastructure, pipeline security and compliance, cloud sovereignty and hybrid deployment models. Every claim validated against official documentation and industry standards.

2024-25Málaga, ES

Companion Code SL

Data Engineer / Analyst

Founded an IT consultancy focused on data engineering and analytics solutions. Built ETL/ELT systems with Python, SQL and cloud platforms. Published public GitHub projects and a weekly technical newsletter on data engineering trends and systems design trade-offs.

2022-23Stockholm, SE

PwC

BI Developer / Data Engineer

Improved data pipelines with SQL and Azure tools, achieving 50% faster processing. Built Power BI dashboards and SQL queries that cut three days off the reporting cycle. Optimised SQL Server data warehouse performance by 40% and reduced deployment time by 25% through Azure DevOps implementation.

educationStockholm, SE

Academic Work Academy

Data Engineering Program

Intensive hands-on programme covering SQL, Python, Apache Airflow, AWS, Docker and Git. Completed with a final capstone project demonstrating end-to-end pipeline design.

educationBelgrade, RS

Academy of Music, Belgrade

Master's Degree — Music Pedagogy

Strong foundation in structured explanation, analysis and teaching complex material. The same clarity that makes a difficult concept teachable in music applies directly to backend technical writing.

Work with me → // need a pipeline built or an article written?
05

Skills & technology

Data pipelines, cloud infrastructure, BI reporting and technical writing. Everything needed to take your data from raw source to reliable output, and explain it along the way.

data_eng
SQLPythonETL / ELTData WarehousingdbtBigQueryApache Airflow
cloud
Microsoft AzureGCPAzure Data FactoryAzure SynapseAzure DevOpsDockerGit
databases
Microsoft SQL ServerPostgreSQL
analytics_bi
Power BIData ModellingReporting
writing
Long-form technical contentSEO for engineersArchitecture diagramsExcalidrawDraw.ioSource validation
ai_tools
ClaudeGeminiAI-assisted codingAI-assisted research
additional
Agile methodologiesClient communication
06

How I work

A rare combination of engineering and writing means I can take a project further than most specialists can, and I bring a clear standard to both sides.

[ ACCURATE ]

Practitioner's precision

I build the systems I write about. Every technical claim gets validated against real documentation and production experience, not tutorials.

[ CLEAR ]

Clarity as craft

A master's in music pedagogy taught me that teaching complex material is a skill in itself. I bring the same discipline to technical explanation that engineers actually trust.

[ COMPLETE ]

End to end

From pipeline architecture to published article, I can take a project all the way. No handoff gaps, no lost context between the engineer and the writer.

07

Industries

Financial Services
PwC · Consulting
Banking & reporting
Data Infrastructure & SaaS
Estuary · Real-time data pipelines
Enterprise data movement
IT Consulting
Companion Code · Data engineering
& analytics solutions
Technical Publishing
Medium · Towards Data Engineering
Backend engineering content
08

Certifications

AI Dev Tools Zoomcamp
Capstone Project
2026
Data Engineering Zoomcamp
Capstone Project
2024
Data Engineering with Microsoft Azure
Final Project
2023
09

What colleagues say

"""
Spot on about AI-generated code hiding issues. I've seen subtle bugs slip past every check except the eyes of someone who knows how the business actually uses the data.
Kiran Kumar YerrollaSenior Data Engineer · Snowflake, Databricks, Kafka, AWS
"""
Your detailed walkthrough of building scalable, self-maintaining data pipelines is incredibly insightful and aligns perfectly with the concepts we discussed in our blog.
Ali AbdollahiData Engineer & BI Developer · SQL, Python, Power BI
"""
A pretty complete overview of the topic. I even decided to refresh my knowledge a bit.
Christy MatryoninaSenior Analytics Engineer · Snowflake, dbt, AWS, GCP
// let's talk

Need clean data or
clear writing?

I take on data engineering projects and technical writing engagements. If you need pipelines built or backend content written that engineers trust, reach out.

Email me → LinkedIn GitHub Medium
EMAILnenamilkov@gmail.com
BASED INMálaga, Spain — remote worldwide
LANGUAGESEnglish · Swedish · Spanish · Slovenian · Serbian