Databricks – Datapiper

What We Do

We’re passionate about data engineering, data science, and advanced analytics. As a Databricks partner with over 75 Databricks-dedicated consultants, we build end-to-end solutions that will empower you to gain more value from your data.

Databricks Jumpstart Workshops

Jumpstart Workshop : 1 Day Pros and Cons
Strategy and Architecture Workshop : 3 Days Ref Architecture
Art of the Possible Workshop : 1 Week POC

Databricks Financial Management

Billing data integration for Multi cloud environments (AWS, Azure, GCP) with DBU
Databricks Cost Optimization through Lake View
Billing dashboard for cost transparency

Databricks Enterprise Security & Networking

Architecture and integration analysis and implementation
Secure, Performant, and Reliable cloud and hybrid connectivity, data access design and implementation; HIPAA, FedRAMP, PCI, etc
Startup to Global scale secure/perf intra, B2B, and B2C solutions

Databricks AI & MLOPs Engineering

Prompt Engineering & tuning
GenAI development strategy
Retrieval augmented generation with LLM
AI Model selection
MLOps to create automated ML pipelines using MLFlow

Databricks Data Engineering

Data Ingestion to Delta Lake
Building Data pipelines using Delta live tables
Workflow orchestration for diverse datasets
Data governance using unity catalog.
Data Visualization to monitor health and performance of production workloads

DataOps on Databricks Lakehouse

Track the entire data journey through Databricks unity Catalog & DLT
Manage and update AI/ML models though MLFlow
Manage lineage and dataset access through unity catalog

Case Studies

Datapiper has delivered 50+ projects under GCP PSO and through Direct MSA in last 5 years here some sample case studies specific to Databricks to showcase the type of work we do for our clients

Customer 360

Client: Large Tech company - Build customer 360 by combining data from sfdc, netsuite and platform usage using Databricks and Tableau.

Consumption Analytics

Client : AI Opd Tech - Correlate customer and contracts data with usage data to derive consumption analysis by product, instance, contract , customer and region. Provide recommendations on upsell and churn.

Service Analytics

Client: Saas (Biotech)- Used Databricks pyspark to extract service and support data from CRM & Financialforce apps. Build the insights on customer journey and recommendations of training and services.

Sales Forecast Analytics

Client : Tech company - Combined data from CRM, Clari, Anaplan and google sheets to drive the combined forecast for commit and consumption business insights.

PeopleOps analytics

Client: Devops Tech - Leverage data from HCM, Anaplan and ATS to build headcount, hiring and performance analysis across the company.

Migration from Redshift

Client : Robotics & Technology - Data extraction and processing using Databricks. ML Flow used to orchestrate the model building. DW is implemented on snowflake for analytics purpose to upload data using snowpipe.