Our Databricks Experts, Ready to Deliver!

Anand

Anand

Lead Databricks Consultant

Location Chicago

Anand is a Lead Databricks Consultant with 12+ years of experience in big data engineering and analytics. He has led large-scale implementations using Databricks Lakehouse, helping enterprises streamline data pipelines and unlock real-time insights.

Expert In : Databricks | Azure | AWS | GCP | Delta Lake

Industries : Manufacturing | Healthcare | Oil & Gas

4.5

Dawal

Dhawal

Sr. Databricks Consultant

Location Chicago

Dhawal is a Senior Databricks Consultant with 10+ years of deep expertise in designing scalable lakehouse solutions. He helps enterprises streamline data workflows, optimize performance, and enable AI/ML use cases.

Expert In : Databricks | Microsoft Fabric | SQL | Azure

Industries : Finance | Logistics | E-commerce

4.9

Ishit

Ishit

Lead Databricks Consultant

Location Dallas

Ishit is a seasoned Data Architects with 10+ years of experience and has successfully led complex migrations and data modernization initiatives. His architecture ensures reliability, scalability, and compliance across various industries.

Expert In : Databricks | AWS | Snowflake | Splunk

Industries : Healthcare | Retail | Manufacturing

4.8

Tech Stack that Powers Our Databricks Consultants to Drive Smart Solutions

Industry

Hear It from Our Clients

Services Offered by Our Databricks Consultants

Our Databricks consultants deliver full-spectrum services—architecture design, seamless migration, real-time analytics, and ongoing optimization. We ensure your Lakehouse runs efficiently and securely from day one.

Platform Strategy & Advisory Services

  • Platform Architecture
  • Migration Assessments & Roadmapping
  • Total Infrastructure Evaluation & Recommendations
  • Cost optimization strategy for workloads

Databricks Instantiation & Development

  • Migration of Existing Processes, Tools, & Databases
  • Account Configuration & Workspace Deployment
  • Security & Governance
  • Cloud Infrastructure Set up

Targeted Use Case Delivery

  • Delivery & Enterprise Enablement
  • ML Model Development & Deployment
  • Center of Excellence & Staff Augmentation
  • Training, Coaching & Best Practices

BI & Visualization Enablement

  • Power BI / Tableau integration with Databricks
  • Building interactive dashboards with Lakehouse data
  • Enabling business teams with self-service analytics

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Our Trusted Partnerships

Our strategic partnerships with industry leaders enhance our ability to deliver advanced solutions tailored to your needs.

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Why Hire Databricks
Consultants
from Softweb?

  • 20+ Years of Industry Experience
  • 120+ In-house Data & AI experts
  • 1020+ Satisfied Clients Globally
  • Expertise in Azure, AWS & Snowflake
  • Proficient with MLflow, MLOps, AutoML & more
  • Skilled in Spark, Delta Lake, SQL & more
  • Internal Team Training for Databricks
  • 24/7 Ongoing Support & Optimisation

Start Your Databricks Project in Simple Steps

Process

Share Your
Requirement

Fill out the form protected by NDA and our expert will connect with you to discuss your needs.

1
Process

Get an
Estimate

We’ll provide a custom estimate based on your needs and preferred engagement model.

2
Process

Connect with
Expert Talent

We'll connect you with the right developer for your project, typically within 24 hours.

3
Process

Project
Kickoff

Start working with your dedicated Databricks consultant for your project success

4

Our Databricks Success Story

CS

Streamlined Data Integration with Databricks

Industry: Manufacturing

Technologies: Databricks | SQL | Power BI Modelling | Python

Challenges: Our client is a leading provider of high-precision industrial components serving various industries, faced challenges in managing terabyte-scale data. Their traditional platforms struggled with slow processing, limited scalability, complex ETL pipelines, and high storage costs, hindering timely insights and real-time decision-making.

Solution: We implemented Databricks to unify the client's data warehousing and lake functionalities, enabling seamless processing of structured and unstructured data. By leveraging Apache Spark, we significantly reduced data processing times and adopted the medallion architecture for efficient data organization. The solution also facilitated cross-region data sharing, enhanced security and compliance, and integrated Power BI for real-time reporting, empowering the client with timely insights and improved decision-making capabilities.

Benefits

  • Reduced processing time
  • Faster ETL processing
  • Cost-effective analytics
  • Seamless scalability