Your Guide Through theData Landscape

Expert data engineering and analytics consulting to transform your data infrastructure and unlock actionable insights

Hey there! 👋 We're The Data Guides

Think of us as your tech-savvy friends who actually speak human! 🤓 We're here to help you make sense of your data without the corporate buzzwords and fancy jargon.

We've been in the trenches, built cool stuff, and learned what works (and what doesn't). Whether you're just starting out or looking to level up your data game, we've got your back! 🚀

No BS, no unnecessary complexity - just straight-up solutions that make your life easier and your data work harder for you.

Here's the deal: if there's a simpler way to solve your problem, we'll tell you. Even if it means less work for us. Your success is what gets us excited! 🎯

Simple Pricing 💎

Choose the plan that fits your needs. All plans include our expertise and dedication to your success! 🚀

Starter ⭐

$2,000/month

  • Up to 20 hours of support
  • Data pipeline setup
  • Basic monitoring
  • Email support
Popular

Professional 🌟

$5,000/month

  • Up to 50 hours of support
  • Advanced data architecture
  • 24/7 monitoring
  • Priority support
  • Monthly strategy calls

Enterprise 👑

Custom

  • Unlimited support
  • Custom solutions
  • Dedicated team
  • 24/7 priority support
  • Weekly strategy calls

Latest Insights

New

DuckDB in 2024: The Zero-Setup Analytics Engine You'll Wish You Tried Sooner

Discover why DuckDB is becoming the go-to choice for data analysts and engineers looking for lightning-fast local analytics.

New

Streamlit in 2024: A Practical Bridge Between Data Science Prototypes and Production Apps

Learn how Streamlit is revolutionizing the way data scientists deploy and share their work with stakeholders.

Coming Soon

Real-time Analytics: From Batch to Streaming

Discover strategies for transitioning your analytics infrastructure to support real-time insights.

Ready to Transform Your Data Journey?

Let's discuss how we can help you achieve your data goals

Industries We Serve

Healthcare

Finance

E-commerce

Manufacturing

Energy

Real Estate

Education

Transportation

Technology

Media

Agriculture

Retail

Cloud Platforms

Amazon Web Services

  • Redshift & Glue
  • Lambda & EC2
  • S3 & DynamoDB
  • API Gateway & Step Functions
  • IAM & CloudWatch
  • EMR & Kinesis
  • SageMaker & Comprehend
  • QuickSight & Athena
  • Lake Formation & FSx
  • AppFlow & DataSync
  • EventBridge & SNS
  • CodePipeline & CodeBuild

Azure

  • Synapse Analytics & Databricks
  • Functions & Virtual Machines
  • SQL Database & Cosmos DB
  • Logic Apps & Event Hubs
  • Active Directory & Key Vault
  • Data Factory & Stream Analytics
  • Machine Learning & Cognitive Services
  • Power BI & Analysis Services
  • DevOps & Pipelines
  • Purview & Data Catalog
  • Data Lake Storage & HDInsight
  • Container Registry & AKS

Google Cloud

  • BigQuery & Dataflow
  • Cloud Functions & GKE
  • Cloud Storage & Cloud SQL
  • Cloud Composer & Cloud Run
  • IAM & Cloud Logging
  • Dataproc & Pub/Sub
  • Vertex AI & AutoML
  • Looker & Data Studio
  • Cloud Build & Artifact Registry
  • Data Catalog & Data Loss Prevention
  • Spanner & Cloud Bigtable
  • Anthos & Cloud Deploy

Data Engineering Tools

Data Ingestion

Cloud Storage + Pub/Sub

Stream Processing

Dataflow + BigQuery

Batch Processing

Databricks + Delta Lake

Data Warehouse

Synapse + Power BI

Data Lake

ADLS + Azure Purview

ETL Pipeline

ADF + dbt Core

Orchestration

Airflow + Composer

Data Quality

Great Expectations + dbt Tests