Programming & Query Languages

Python SQL TypeScript JavaScript Java Bash

Data Platforms & Warehouses

Snowflake Databricks Palantir Foundry Google BigQuery Amazon Redshift Microsoft Fabric PostgreSQL Microsoft SQL Server Oracle Legacy databases

Data Engineering & Orchestration

Apache Airflow Dagster Prefect Apache Spark PySpark Apache Kafka Fivetran Cloud-native ETL (Glue, ADF, Dataflow)

Analytics Engineering & Business Intelligence

dbt SQLMesh Semantic layers Power BI Tableau Looker Sigma

Data Quality & Governance

Great Expectations Soda Monte Carlo Elementary DataHub Collibra OpenLineage Master & reference data (MDM)

Application Frameworks

FastAPI Node.js React Next.js Spring Boot

AI & Machine Learning Systems

OpenAI Anthropic Azure OpenAI LangChain / LangGraph LlamaIndex Hugging Face Vector databases (pgvector, Pinecone, Weaviate) Model evaluation (LangSmith, Ragas) MLOps

Cloud Providers

Amazon Web Services Microsoft Azure Google Cloud Platform

DevOps & Deployment

Docker Kubernetes Terraform Git GitHub Actions

Embedded & Edge

Embedded Linux Edge AI / on-device inference Device-to-cloud integration MQTT Industrial protocols (Modbus, OPC-UA)

Business Systems & Sources

ERPs CRMs EHR & claims systems Billing systems SaaS APIs Flat files & SFTP

Technology-Agnostic by Design

This is the core we lead with, chosen because we can take responsibility for it end to end. It is not the limit of what we work in. Most engagements begin inside an environment that already exists — an older database, an unfamiliar reporting tool, a vendor platform with its own constraints — and that is normal work for us. Where new technology is selected, we choose it around your requirements, existing systems, team capability, budget, and long-term maintainability, never vendor preference.

Evaluating your technology or data stack?

We'll help you select and implement the right technologies for your requirements and operating model.

Contact us