Startup teams outgrowing ad hoc analytics
You need trusted metrics, less spreadsheet dependency, and a data platform that supports growth without creating a permanent cleanup project.
Fractional Principal Data Engineer and Cloud Architecture Consultant
Turn fragile reporting and unreliable pipelines into trusted revenue-grade data systems.
I help startups and regulated organizations replace spreadsheet-heavy analytics, brittle ingestion, and unclear cloud spend with governed platforms that improve decision speed, operational confidence, and audit readiness.
GCP and AWS delivery
Healthcare and regulated systems
Airflow, dbt, BigQuery, Python
Cost-aware platform design
Who This Is For
Healthcare and compliance-sensitive environments
You need auditability, validation, and controlled operating discipline without sacrificing delivery speed.
Organizations with broken pipeline trust
Executives, analysts, and engineers are spending too much time reconciling numbers, chasing failures, and arguing about which dataset is real.
Teams needing senior leadership without a full-time exec hire
You want hands-on architecture, implementation, and delivery leadership from a fractional consultant who can unblock work quickly.
Consulting Services
Analytics Modernization Consulting
Move critical business logic from Excel, Google Sheets, and one-off SQL into governed warehouse models, orchestration, and documented data contracts.
Data Reliability and Quality Engineering
Implement validation, reconciliation, schema drift detection, freshness monitoring, and alerting so silent failures stop eroding confidence.
Cloud Data Platform Architecture
Design event-driven, cloud-native platforms on GCP or AWS using practical patterns that balance speed, maintainability, and long-term cost control.
Regulated Data Workflow Design
Build auditable ingestion, transformation, and delivery systems for healthcare and other high-stakes environments where traceability matters.
Why Companies Hire Me
Trusted Numbers
Reliable pipelines, governed transformations, and clearer ownership help teams make revenue and operating decisions with less debate.
Faster Delivery
I work hands-on across architecture, implementation, debugging, and operations, which shortens the path from diagnosis to production improvement.
Cost Awareness
Platform choices are tied to business value, cloud spend visibility, and maintainability, not abstract architectural fashion.
Selected Impact
- Early-warning reliability system: Built a practical framework using Airflow, dbt tests, BigQuery metrics, and Slack alerts to surface failures and anomalies before they became business surprises.
- Hybrid transfer gateway: Connected AWS SFTP silos to GCP-native analytics workflows to support secure, automated, auditable ingestion for critical external feeds.
- Cloud-native ingest architecture: Designed Gen2 Cloud Functions based ingestion services with validation, schema control, and robust handling of bursty workloads.
- Analytics modernization: Moved business logic out of Excel and Sheets into governed dbt models and orchestrated workflows, improving repeatability and metric trust.
- Secure regulated data exchange: Built SURL, an AWS-based platform for secure, auditable transfer of large compliance-sensitive datasets with explicit lifecycle control.
Experience Snapshot
Podimetrics (2024-2025)
Principal quality and platform engineering for GCP analytics systems, Airflow orchestration, dbt transformation, BigQuery operations, and regulated healthcare delivery.
SURL Founder (2023-2024)
Designed and built secure AWS transfer infrastructure with Kafka, Python services, PostgreSQL, Terraform, observability, and explicit cloud cost accountability.
Pfizer (2009-2023)
Senior technical leadership across clinical data processing, DICOM archive search, data anonymization analysis, modernization, and validated systems in regulated environments.
Where I Have Built
Core Technologies
Frequently Asked Questions
Do you work as a fractional consultant?
Yes. I support targeted architecture reviews, project rescue work, modernization planning, and hands-on delivery leadership for teams that need senior depth without adding a full-time executive hire.
What outcomes do clients usually want?
Most clients want more trustworthy reporting, fewer production surprises, lower operational drag, and a platform that can support revenue decisions without constant manual reconciliation.
What kinds of stacks do you usually improve?
Typical stacks include Python, SQL, Airflow, dbt, BigQuery, PostgreSQL, Kafka, Cloud Functions, Cloud Run, AWS infrastructure, and observability tooling.
Need Better Analytics, Stronger Reliability, or Cleaner Cloud Operations?
If your team is wrestling with pipeline instability, spreadsheet bottlenecks, metric trust issues, or regulated data complexity, I can help assess the problem, define a practical roadmap, and deliver the fix.
kris.kokomoor@gmail.comBest fit: startups scaling their analytics function, healthcare data teams, and organizations with high-stakes reporting or compliance requirements.