Fractional CTO for Data
Turn your data into a competitive advantage. Expert technology leadership for data engineering, ML pipelines, and analytics infrastructure that powers data-driven decisions.
Data at Scale: The Utelly Story
At Utelly, I built data infrastructure that processed billions of user interactions. Content metadata from 100+ streaming providers, user behavior data, and real-time recommendations.
The core challenges were data aggregation, enrichment, and ML at scale. We ingested content catalogs from Netflix, Amazon, Disney+ and dozens more, normalized the data, and built recommendation engines on top.
This experience means I understand data problems from ingestion to ML inference - not theory, but production systems serving real users.
Data Stack Experience
Data Ingestion
Airbyte, Fivetran, custom connectors
Transformation
dbt, SQL, Python data pipelines
Data Warehouses
Snowflake, BigQuery, Redshift
BI & Analytics
ThoughtSpot, GoodData, Metabase
ML Infrastructure
Feature stores, model serving, MLOps
Data Challenges I Solve
From raw data to actionable insights, I help companies build data infrastructure that scales.
Data Platform Architecture
Design end-to-end data platforms. Ingestion, transformation, storage, and serving layers that work together.
ML Pipelines
Build production ML systems. Feature engineering, training pipelines, model serving, and monitoring.
Data Quality & Governance
Data contracts, automated testing, lineage tracking, and access controls that prevent data chaos.
Real-Time Processing
Event-driven architectures, streaming data, CDC pipelines. Process data as it arrives.
Analytics Infrastructure
Self-serve analytics that empowers teams. BI tools, semantic layers, and data democratization.
Data Team Building
Hire and structure data teams. Data engineers, analysts, ML engineers - the right roles at the right time.
Data Services
Data Platform Design
Architecture for your data stack. Ingestion, transformation, warehousing, and analytics.
ML Engineering
Production ML systems. Feature stores, training pipelines, model serving, and MLOps.
dbt Implementation
Modern transformation layer with dbt. Data modeling, testing, documentation.
Data Ingestion
Airbyte, Fivetran, custom connectors. Get data from everywhere into your warehouse.
BI & Analytics
ThoughtSpot, GoodData, Metabase. Self-serve analytics for your teams.
Real-Time Data
Kafka, event sourcing, CDC. Stream processing for real-time analytics.
Data Experience
Real data challenges I've solved at scale.
Content Aggregation
Built data pipelines ingesting content from 100+ streaming providers. Real-time catalog updates, metadata normalization.
Billions of catalog items
Recommendation ML
Built ML pipelines for personalized recommendations. Feature engineering, model training, real-time serving.
Billions of user interactions
Analytics Platform
Built self-serve analytics for business teams. Semantic layer, dashboards, and ad-hoc querying.
Data democratization at scale
Data CTO FAQ
What data tools and technologies do you work with?
Can you help build ML pipelines?
How do you approach data platform architecture?
What about real-time data processing?
Ready to Unlock Your Data?
Let's discuss your data challenges. Free consultation - honest advice on your data strategy.