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Turn your data into production‑grade intelligence on Databricks.

PieStack helps startups and enterprises design, build, and scale data pipelines, AI/ML solutions, and intelligent applications on the Databricks Data Intelligence Platform.

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Data Engineer Associate

What we build on Databricks

Three core practice areas — each designed around business outcomes, not technology showcases.

Data Engineering

Clean, unified data that drives decisions — not dashboards.

We design and build Lakehouse architectures on Databricks that consolidate your raw sources into production-grade, governed data — ready for analytics, ML, and real-time applications.

  • Delta Lake pipelines & medallion architecture
  • ETL/ELT and real-time streaming ingestion
  • Unity Catalog governance & data quality
  • Fivetran, dbt, Kafka integration

AI & GenAI

Models that earn revenue — not ML experiments that gather dust.

From predictive ML to LLM-powered product features, we build AI solutions end-to-end on Databricks — model training, MLflow-based MLOps, and GenAI applications on Mosaic AI.

  • Custom ML models & MLflow MLOps
  • LLM fine-tuning & RAG on Mosaic AI
  • Feature engineering & model serving
  • AI-driven forecasting & recommendations

Application Development

Intelligent products powered by your data — not a generic SaaS.

We build data-powered applications directly on Databricks — from internal analytics tools to customer-facing products that use live data as a competitive advantage.

  • Real-time data applications & APIs
  • Embedded analytics & reporting layers
  • AI-powered product features
  • Databricks SQL & dashboard integration

Industries we serve

Deep domain focus — not a one-size-fits-all data practice.

Retail & eCommerce

Retailers that win on personalization and speed need data infrastructure that matches their ambition. We build Databricks-powered platforms that turn transaction history, catalog data, and customer behavior into measurable revenue uplift.

  • Customer 360

    Unified customer profiles across web, store, and CRM — enabling segmentation that improves conversion and retention.

  • Demand Forecasting

    Reduce overstock and stockouts by 20–35% with ML models trained on sales, seasonality, and external signals.

  • Personalization & Recommendations

    Real-time product recommendations that lift average order value — built on your data, not a black-box vendor model.

  • Marketing Analytics

    Attribution and campaign performance across paid, organic, and owned channels — with spend optimization built in.

Typical stack: Shopify · SAP · Salesforce · Kafka · Fivetran · dbt

Our approach

Build-first, outcome-focused. We specialize in designing and building new data and AI systems on Databricks — from first pipeline to production ML — so you get modern architecture without legacy baggage.

01

Strategy

We start with your data and business goals — not the technology. We scope the use case, define success metrics, and design an architecture that fits where you are today and where you are heading.

02

Architecture

We design your Databricks Lakehouse architecture — medallion layers, Unity Catalog governance, compute strategy, and integration patterns — before writing a line of pipeline code.

03

Build

We build production-grade pipelines, models, and applications on Databricks. We specialize in greenfield builds: designing and building new data and AI systems from first pipeline to production ML — modern architecture without legacy baggage.

04

Scale

We engineer for growth from day one — cost-efficient compute, automated testing, CI/CD for data, and monitoring — so your platform scales without a re-architecture project in year two.

Frequently Asked Questions

Everything you want to know about working with PieStack on Databricks — before the first call.

Do you work with companies new to Databricks?

Which clouds do you support?

Do you handle legacy migrations (Hadoop, Cloudera, Teradata)?

How do engagements typically start?

Where are your teams located?

What certifications does your team hold?

Ready to build on Databricks?

Whether you're starting your first pipeline or expanding into AI, we'll help you ship something that earns its keep from day one.

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