Rapid Innovation and Real-time
Decision Making By Unifying Data
and AI with Databricks
Adroitent, Inc. is a global Databricks consulting and solutions partner specializing in Data engineering& modernization, Lakehouse modernization, AI/ML Engineering, Integrations, Predictive analytics, and other Databricks services. We support enterprises and businesses with secure, compliant Databricks implementations across AWS, Azure, and GCP. With global delivery, CMMI Level 3, ISO 9001, and ISO 27001 certifications, we help enterprises operationalize Databricks at scale with speed, security, and impact.
Why leverage Databricks?
- Enables a unified Lakehouse platform, combining data lakes and data warehouses for simpler architecture
- Accelerates analytics and AI workloads with scalable, high-performance processing
- Built-in support for machine learning and AI improves faster model development and deployment
- Secure and scalable infrastructure with built-in governance
- Strong governance and security ensure enterprise-grade data management and compliance
- Faster decision making with real-time insights through streamlined data engineering and analytics
Databricks Services
Adroitent’s Databricks powered Data Engineering & Data Modernization Services enable enterprises to transform legacy data landscapes into agile, scalable, and analytics-ready ecosystems. Traditional data environments often struggle with fragmented systems, limited scalability, and high operational costs.
Key Features
- Enable organizations to shift from rigid monolithic pipelines to modern, modular, cloud-native data architectures
- Implement data quality frameworks, observability tools, and best practices to ensure data is trusted, secure, and compliant across lifecycle
- Accelerate development cycles by automating operations
Empower organizations to evolve from traditional data lake or warehouse architectures to a unified Lakehouse model using Databricks. As enterprises scale their data needs, they require platforms that seamlessly support structured, semi-structured, and unstructured data while enabling BI, advanced analytics, and AI workloads.
Our Approach:
- Streamline data operations to enable self-service analytics
- Replace legacy ETL jobs with high-quality automated pipelines
- Implement scalable compute clusters, optimize workloads using SQL Warehouses
- Integrate enterprise BI tools such as Power BI, Tableau, and Looker
- Our modernization approach focuses on reducing operational complexity
Adroitent delivers advanced AI and ML engineering services on Databricks enabling enterprises to accelerate innovation, scale model development, and operationalize AI with governance and reliability. Leveraging Databricks’ unified platform and tools such as MLFlow, Databricks Model Serving, MosaicML, and Lakehouse AI, empower organizations to build, train, deploy, and monitor ML and GenAI solutions at scale.
Our AI/ML Model Development
- Our ML engineers assess current workflows, data readiness, business use cases, and operational maturity.
- Design end-to-end AI pipelines from feature engineering, model development, and experimentation to deployment, fine tuning, and continuous monitoring.
Post-deployment, we monitor performance, optimize pipelines, and provide ongoing support to keep your platform efficient and future-ready.
Our Expertise:
- Leverage various Databricks monitoring tools to track performance metrics
- Set up alerts and dashboards for real-time monitoring
- Conduct regular reviews and updates of data strategies and models
Adroitent delivers comprehensive Unity Catalog Governance Services empowering enterprises to achieve centralized, secure, and compliant data management across their Databricks environment. As organizations scale data usage across teams, clouds, and business units, ensuring consistent governance becomes critical. Adroitent enables seamless adoption tailored to enterprise needs with Unity Catalog to provide a unified governance layer for data, analytics, and AI assets.
How do we perform this Governance?
- Configure Unity Catalog to centralize permissions, automate role provisioning, and enforce least-privilege access.
- Streamline fine-grained controls for tables, views, files, functions, clusters, and ML assets.
- Integrate enterprise identity systems (Azure AD, IAM) to implement attribute-based and group-based access models
- Establish secure isolation between development, staging, and production environments.
Key Features
- Enable organizations to shift from rigid monolithic pipelines to modern, modular, cloud-native data architectures
- Implement data quality frameworks, observability tools, and best practices to ensure data is trusted, secure, and compliant across lifecycle
- Accelerate development cycles by automating operations
Adroitent enables seamless Cloud Data Warehouse migrations with minimal disruption and maximum performance.
How do we do it?
- Modernize legacy data platforms by migrating to scalable, secure cloud-native warehouses
- Leverage automation-led frameworks to unlock real-time insights faster
Ensure improved analytics performance, cost optimization, and future-ready architectures
Our Approach:
- Streamline data operations to enable self-service analytics
- Replace legacy ETL jobs with high-quality automated pipelines
- Implement scalable compute clusters, optimize workloads using SQL Warehouses
- Integrate enterprise BI tools such as Power BI, Tableau, and Looker
- Our modernization approach focuses on reducing operational complexity
As a Databricks partner, we handle secure, high-volume data migration and synchronization, ensuring seamless data migration and minimal downtime. We enable Databricks to ingest, process, and analyze data from a wide range of sources, ensuring a single source of truth across the enterprise.
Supported integrations include:
- Relational databases (Oracle, SQL Server, MySQL, PostgreSQL)
- Cloud data warehouses and lakes (Snowflake, Redshift, Azure Data Lake, Amazon S3, Google Cloud Storage)
- Streaming and real-time data sources (Kafka, Event Hubs, Kinesis)
- SaaS and application data (Salesforce, ServiceNow, Workday, SAP)
Post-deployment, we monitor performance, optimize pipelines, and provide ongoing support to keep your platform efficient and future-ready.
Our Expertise:
- Leverage various Databricks monitoring tools to track performance metrics
- Set up alerts and dashboards for real-time monitoring
- Conduct regular reviews and updates of data strategies and models
Real time Industry-wise Use Cases
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Industry
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Services Overview
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Our Expertise
|
|---|---|---|
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Banking and Financial Services
|
• Enterprise Risk & Fraud Detection
• Customer 360 & Hyper-Personalization • Credit Risk & Underwriting • Regulatory Reporting & Compliance |
• Real-time fraud detection using streaming data
• Personalized product recommendations using ML • AI-based credit scoring models • Automated regulatory reporting |
|
Healthcare Services
|
• Patient 360 & Care Optimization
• Population Health Analytics • Claims anomaly detection • Readmission prediction • Provider performance analytics • Regulatory & Data Privacy |
• Existing healthcare production support experience
• Familiarity with claims, EDI, payer workflows • Compliance-first approach (HIPAA, PHI) |
|
Retail & e-commerce
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• Claims analytics
• Demand Forecasting & Inventory Optimization • Customer Personalization & Loyalty • Omnichannel Analytics • Price Optimization |
• Experience with AI-driven forecasting using historical + real-time data
• Real-time recommendation with AI models • Unified online + offline customer insights • Dynamic pricing using elasticity models |
|
Manufacturing & Retail
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• Predictive Maintenance
• Smart Factory Analytics • Supply Chain Analytics • Quality Analytics |
• Real-time production monitoring
• Supplier performance analytics • Defect detection using AI/ML • Root cause analysis at scale |
|
Travel and Transportation
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• Dynamic Pricing & Revenue Management
• Customer Experience Analytics • Logistics Optimization • Predictive Maintenance |
• Root cause analysis at scale
• Real-time disruption management • Loyalty optimization • Route optimization • Warehouse analytics |
Why Leverage Adroitent + Databricks Partnership?
- Certified Databricks partner with deep domain expertise
- With 5000+ person-years of IT services and AI solutions industry expertise, empowering enterprises to modernize data foundations and scale AI initiatives
- 10+ professional team of certified Databricks Experts
- Deliver high-quality Databricks implementations focused on data engineering and modernization
- Deep cloud + AI solutions expertise + domain integration capabilities expertise
- Focus on enterprise-scale GenAI and AI governance with AI and ML Models expertise
- Optimize performance and costs while avoiding common implementation pitfalls.
- New revenue streams with AI innovation
- Faster deployment of advanced analytics, ML, and GenAI use cases using industry-aligned accelerators
- Benefit from strong governance, security, and compliance tailored to business needs
- Industry-templated architectures
- Enable performance and predictive analytics
- Compliance-first approach (HIPAA, PHI)
- Low risk implementations
- Cost-effective pricing with stringent timelines
- Quicker ROI
