🚀 Fast, Scalable, Cost-Efficient Data Engineering—Done Right.
⚡ Slow pipelines, sky-high cloud bills, and endless troubleshooting?
✅ Not anymore. I build, optimize, and scale data platforms that run fast, stay reliable, and keep costs under control—without the bloated overhead of a big consulting firm.
💰 Let’s fix your data pipelines & slash your cloud costs —schedule your free consultation today!
Common Data Engineering headaches
Do the endless technology choices make it impossible to move forward?
Are your ETL pipelines slow, failing, and unreliable?
Are your cloud costs keep skyrocketing, and you’re not sure why?
Are you drowning in vendor pitches, but no one actually takes ownership?
✅ I cut through the noise and help you choose the right tools for your needs, so you don’t waste time or money on the wrong stack.
✅ I build blazing-fast, reliable, and scalable ETL pipelines with Databricks, Spark, and Python—so your data is always fresh and your team can focus on real work.
✅ I optimize your data infrastructure to slash costs and improve performance—whether it’s tuning Spark jobs, right-sizing clusters, or eliminating waste.
✅ I work hands-on to deliver real, production-grade solutions. No handwaving, no “checking the boxes”—just real results you can rely on.
Services
Zero-to-Databricks Platform
Setting up a full Databricks Platform
Fully managed, zero stress, just insights. I set it up—you take the credit (and maybe a promotion).
Completely new to data? No problem. I build and configure a scalable, secure, and cost-effective Databricks workspaces for your company. Fully managed, with best practices built in from day one.
🎯 Deliverables:
✅ Databricks Environment Setup – Fully configured Dev, Test, and Prod workspaces with KeyVaults and Data Storages.
✅ IAM & Security – Secure identity & access management (Azure Entra, AWS Directory, Unity Catalog).
✅ Optimized Compute & Cost Control – Avoid hidden cloud costs from day one.
✅ With flexible options for:
– Robust Pipeline Orchestration
– Seamless DBT Integration
– Ongoing Data Quality & Monitoring
– Automated CI/CD for Pipelines
– Comprehensive Trainings
💡 Why Choose This?
🚀 Fast Implementation – Your full cloud data platform, ready in weeks, not months.
💰 Save on Engineering Costs – No need for an expensive in-house data team.
🔒 Security & Compliance First – Best practices in IAM, encryption, and auditing included.
📈 Scalability – The platform grows seamlessly with your data needs.
Blazing-Fast New ETL
Building batch & streaming pipelines
Your tailor-made, brand-new pipelines, just like the German Autobahn—no speed limits, just high-performance ETL.
Need high-quality ETL pipelines built fast? I specialize in cost-efficient, high-performance ETL solutions in Databricks, Apache Spark, Python, and SQL. Whether you’re starting fresh or migrating from another system, I’ll ensure your data pipelines are reliable, scalable, and cost-effective.
🎯 Deliverables:
✅ Custom ETL Pipelines – Batch or streaming, tailored for your business needs.
✅ Optimized for Performance – No memory bottlenecks data spills or slow queries.
✅ Cost-Efficient Processing – Smart compute & cluster configurations to reduce spending.
✅ Pipeline Orchestration – leverage tools like Apache Airflow, Azure ADF, AWS Glue, Dagster or native Databricks jobs for scheduling & automation.
✅ Migration Assistance (Optional) – Seamlessly move from Synapse, Snowflake, or on-prem to Databricks.
💡 Why Choose This?
⚡ Speed & Reliability – Lightning-fast processing with minimal downtime.
💰 Cloud Cost Optimization – Only pay for the resources you actually need.
📈 Scalable & Future-Proof – Pipelines designed for growth and real-time workloads.
🛠️ Best Practices & Knowledge Upscale – Your team will fully understand the implementation.
ETL Weight Loss Bootcam
ETL performance & Cost Optimisations
Send them to me for bootcamp—they’ll return leaner, meaner, and way faster.
Already have an ETL system, but it’s slow, costly, or unreliable? I analyze, optimize, and, if needed, rewrite your data pipelines to improve performance, cut costs, and enhance reliability. I tackle everything from memory errors, slow jobs, retries, compute inefficiencies, and bad data handling.
🎯 Deliverables:
✅ Full ETL Checkup – Identify bottlenecks, slow queries, inefficient cluster usage.
✅ Performance Optimization – Improve shuffle, skew, caching, partitioning, file compression.
✅ Compute Resource Right-Sizing – Ensure your Spark clusters aren’t over-provisioned.
✅ Auto-Scaling & Cost Reduction – Leverage Databricks Auto-scaling & AQE (Adaptive Query Execution).
✅ Code Refactoring (if needed) – Rewrite Spark, Python, SQL queries for better performance.
💡 Why Choose This?
💰 Reduce Cloud Bills – 20-50% cost reduction on AWS, Azure, or Databricks.
🚀 Faster Pipelines – Slash ETL runtime, reduce retries, and prevent job failures.
🔍 Full Transparency – You get a before-and-after report on performance gains.
📊 Monitoring & Alerting – Stay ahead of failures with proactive monitoring.
Companies I’ve worked with
About
Owner of Cloud Native Consulting
Hi, I’m Filip. Since 2017, I’ve been helping businesses—including Fortune 500 companies—design, deliver, and optimize their data infrastructure. I focus on solving technical problems so businesses can focus on what matters: serving their clients.
I do this by understanding your goals and working together to achieve them, with clear, actionable steps.
What sets me apart?
- No middlemen: No inflated costs for sales teams or junior engineers.
- Senior-level expertise: I’m hands-on from start to finish.
- Full transparency: Clear solutions, no jargon, no empty promises.
You’ll have full visibility and control, and I put my name on the line. My mission is to empower your team to deliver results independently—so you don’t need me anymore.
Let’s work together to take your data to the next level.
Let’s work together
on your next tech project
FILIP PASTUSZKA
Senior Data Engineering Consultant
Owner of Cloud Native Consulting
filip@cloudnativeconsulting.nl