Data warehouses built to move data, not just store it.

HambleyTek is the place for ETL architecture, cloud data warehousing, and data lake migrations — the same hands-on engineering that's rebuilt pipelines for hospital systems, global retailers, and manufacturers over a 25-year career.

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Founded by Robert Hambley · Kenosha, Wisconsin
FIG. 01 INGEST → TRANSFORM → WAREHOUSE → INSIGHT
ERP API FILES ETL WAREHOUSE BI / REPORTS
SNOWFLAKE · DBT · INFORMATICA · TALEND · DATABRICKS · FABRIC REV. 2026
25+
years architecting ETL and data warehouse platforms
30+
developers supported at once tuning mappings at Kohl's
99.9%
uptime engineered on mission-critical Oracle systems
2hr → 6min
runtime cut on a single mapping through performance tuning
Services

Four ways to fix a broken pipeline.

Most engagements start with a specific, painful problem — a migration that's stalled, a warehouse that can't keep up, a cluster nobody wants to touch. These are the areas where that gets solved.

The data warehouse and pipelines designed and built just a few years ago to meet your business needs
may not be answering the questions your business needs today.

01

ETL architecture & migration

Re-platforming ETL or redesigning in Informatica PowerCenter, Talend, or dbt. Source-to-target mapping, STM documentation, and performance tuning that turns hour-long jobs into minutes.

02

Cloud data warehousing

Snowflake and DBT-based warehouse builds, Snowpipe ingestion for real-time loads, role and access administration, and medallion architecture on Microsoft Fabric, dbt or Databricks.

03

Data lake & big data modernization

Hadoop, HDFS, and Kafka clusters moved to AWS EMR/S3 or Azure, including Kerberos-secured and Ranger ACL environments re-platformed to cloud-native infrastructure.

04

Data quality & governance

Informatica Data Quality rule design, source-versus-target validation, and STM documentation thorough enough to survive an audit — or a new team inheriting the project.

Approach

One architect, full accountability.

HambleyTek doesn't hand your migration to a bench of juniors. HambleyTek designs the architecture, writes the mappings, and stays on the project through cutover — the same approach used to lead onshore and offshore teams through on-prem to cloud migrations and EDW modernization.

Every engagement starts with the source-to-target mapping and a plain-language read of what's actually broken, not a slide deck. What gets built is documented well enough that your own team can run it without HambleyTek in the room.

DISCOVERY
Audit the existing architecture, data quality, and STMs. Gaps get named, not glossed over.
BUILD
Mappings, pipelines, and warehouse schema built and tuned in the target platform. Oracle, Snowflake, MySql, DBT, Talend, Fabric, Databricks.
HANDOFF
Documentation and test plans written for your team to own. No black boxes left behind.
Selected work

A quarter century of warehouses.

A working history across healthcare, retail, insurance, and manufacturing — from Oracle on Sun Solaris to Snowflake on Snowpipe.

Data Architecture → Data Modeling → ETL/ELT → Data Quality → Data Warehousing → Cloud Migration → Analytics/Reporting

Healthcare

  • Healthcare claims processing and data warehousing
  • Healthcare reporting and external data integration
  • EPIC data extraction and reporting
  • Enterprise data warehouse and BI data marts
  • Informatica, Oracle, Snowflake, dbt, and cloud-based ingestion
  • Data migration and source-to-target mapping

    • Manufacturing

  • Enterprise data warehouse architecture and modernization
  • Supply-chain and financial data
  • Migration from legacy Oracle/Informatica environments to Snowflake/Talend
  • Global reporting and data integration
  • Data modeling and ETL architecture

    • Retail / Consumer

  • Enterprise data integration and reporting
  • API-driven ingestion and Snowflake data platforms
  • Talend ETL development
  • Type 1 and Type 2 dimensional modeling
  • Cloud migration and modern data architecture

    • Insurance / Financial Services

  • Enterprise data warehousing and data integration
  • Data quality and governance
  • Hadoop and big-data platforms
  • Informatica, Python, Spark, Kafka, Snowflake, and AWS
  • Migration of legacy data platforms to cloud infrastructure

    • Human Resources / Enterprise Services

  • Enterprise HR data warehousing
  • Employee, benefits, and promotion data
  • Master Data Management (MDM)
  • Integration involving HR-XML, PeopleSoft, and CRM systems
  • Global data privacy and reporting requirements

    • Quality / Regulated Data

  • Quality-control and exception reporting
  • Data environments supporting regulatory reporting
  • Data quality validation and source-to-target reconciliation
  • Informatica Data Quality and data governance practices
    • Stack

    Tools, not trends.

    Platforms proven across two decades of migrations — chosen for what fits the source system, not what's fashionable.

    Snowflake DBT Informatica PowerCenter Informatica IDMC / IDQ Talend DataBricks Python SQL / PL/SQL AWS EMR / S3 / Redshift Azure / Microsoft Fabric Hadoop / HDFS Kafka Kerberos / Ranger Oracle MySql SqlServer Cognos Git / Azure DevOps Erwin

    Let's talk about your data.

    Whether it's a stalled migration, a warehouse that can't scale, or a legacy Hadoop cluster nobody wants to inherit — tell me where it stands.

    Robert@HambleyTek.com 414.943.6819
    Kenosha, Wisconsin