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Kterla

Eliminate the
Engine Bottlenecks.

When your Spark clusters are burning cash, user report interactions are redlining your Fabric capacity, refreshes are slow and dashboards crash from a single click, scaling hardware is a trap. I diagnose executions and rewrite the logic to make your data platform run faster.


The Pit-Stop Process

Phase 1: Telemetry

Like a Formula 1 pit wall, I don’t guess. I analyze Spark History Server metrics, physical Catalyst execution plans, VertiPaq metadata and underlying storage and compute layers to pinpoint the failure. I don’t just monitor telemetry; I validate and prove the performance gains on the actual engine to ensure the results are absolute.

Phase 2: Engine Swap

I perform an extraction of the failing PySpark code, complex DAX patterns or inefficient semantic models. I strip down and refactor the core logic, eliminate memory leaks and bottlenecks - proving the optimization with definitive "Before/After" performance benchmarks on the live engine.

Phase 3: Back on Track

I lead the deployment and production hardening to ensure the new logic survives the real world. I don't just hand over code; I validate the performance gains against your real-world data volumes and concurrency to ensure stability. Your platform returns to the track fully operational, hardened and ready to handle the heat.


The Architect's Filter: Who I Do Not Work With

  • The UI & Memory Trap If a 10GB VertiPaq memory leak and a 40-second dashboard crash followed by a 49% capacity spike aren't treated as an absolute emergency for your business - we are not a match. I don't debate performance standards; I lead the refactoring and fix the core issue.
  • The Compute Illusion If you try to fix a 23-minute PySpark job by scaling up the cluster instead of opening the execution plan, we won't work well together. Hardware is not a substitute for architecture. I do not mask inefficient code with your cloud budget; I rewrite the query.
  • The "Wide Table" Trap If your idea of an optimized architecture is dumping 100-column wide tables into Power BI and refusing to adopt proper Star Schema (Kimball) modeling - we are not a match.
  • The Reckless Consultant If your external consultants are mass-producing calculated columns and calculation groups to the model that redline your Fabric Capacity and your fix is a bigger SKU instead of better code - we are not a match.
  • The DAX Abuse If you blindly rely on `USERELATIONSHIP` without understanding its side effects or force heavy string processing into the Formula Engine without even knowing what the FE is - sacrificing report accuracy and speed while claiming the code "isn't the issue" - we are not a match.
  • The Hardware Band-Aid If your semantic models are bloating, your refresh rates are crawling and your first instinct is to upgrade your capacity tier rather than optimizing the data model - we are not a match.

The Engineering Match: Who I Work With

If you demand predictable cloud budgets, refuse to throw money at bottlenecks, and want to genuinely eliminate inefficient resource consumption through precise code optimization - we are a perfect match. If you demand engineering accountability and view code as a rigorous craft rather than just a sequence of characters to make a function pass, we speak the same language. For me, code isn't finished when it works - it is finished when it is computationally lean.

"Slow code is bad code. Unreadable code is bad code. Expensive code is bad code. No sugarcoating."

My approach to optimization is simple: it must deliver a tangible ROI. This is not just a service; it is a rigorous engineering standard. If the project doesn't have a clear path to measurable impact, I am the wrong person for the job.


Performance Gains over Hardware Scaling

20m ➔ 2m

PySpark Execution

50m ➔ 20m

Model Refresh Time

7GB ➔ 3GB

Model Size Reduction

8GB ➔ 1.5GB

Memory Footprint

30s ➔ 6s

SQL Endpoint Query

Engineering Accountability.

I don't bill for "effort" or documentation.
I bill for measurable technical impact.

If the hours I spend diagnosing and refactoring do not produce a measurable benefit to your business in time or costs, I do not bill you for them.

If I audit your system and conclude that your team has done an excellent job and no significant waste exists, consider it a free performance certification. I only charge for transformation, not for confirmation.

Not out of charity, but because engineering without a measurable impact is just typing. That is the standard I hold myself to.