Cloud Setup
Deploy a secure, scalable cloud data foundation.
We help businesses set up and configure Databricks on AWS, Azure, or GCP, ensuring a strong, production-ready environment from day one.
What We deliver:
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Cloud architecture planning
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Databricks workspace setup
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Security and access configuration
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Cost-efficient and scalable infrastructure
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Best-practice deployment aligned to business needs
Data Pipelines
Build reliable, high-performance data pipelines.
We design and implement batch and real-time ETL workflows using Spark and Delta Lake to ensure your data flows smoothly, accurately, and on time.
What We deliver:
End-to-end data ingestion pipelines
Batch & streaming data processing
Data transformation and validation
Optimized performance and scalability
Reliable analytics ready datasets
ML Enablement
Prepare your data platform for machine learning success.
We set up tools like MLflow and Feature Store to simplify the entire machine learning lifecycle from experimentation to deployment.
What We deliver:
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MLflow setup and tracking
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Feature Store implementation
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Model versioning and governance
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Reproducible ML workflows
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Analytics-to-ML transition readiness
Data Governance
Ensure trust, security, and compliance across your data.
We implement Unity Catalogue and access controls to protect sensitive data while maintaining flexibility for analytics teams.
What We deliver:
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Centralized data governance framework
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Role-based access control
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Data lineage and audit readiness
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Compliance-friendly architecture
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Secure collaboration across teams
Why Choose Rehla Digital for Data and Analytics Consulting?
We help businesses design, implement, and scale modern data platforms that deliver real insights — not just dashboards. My approach combines cloud architecture, data engineering, analytics, and governance to support long-term decision-making and scalability.
Whether you already have a cloud environment or are migrating from on-premise systems, We ensure a secure, scalable, and cost-efficient Databricks setup aligned with your business goals.
Yes. We design Spark-based ETL pipelines that support both batch processing and real-time streaming with Delta Lake.
We implement Unity Catalog, role-based access, and audit policies to ensure enterprise-grade data security and compliance.
How It Works

Launch Smart
We rapidly deploy a secure,
cloud-optimized Databricks environment tailored to your use cases.

Build Fast
Our team engineers high-performance pipelines, ML workflows, and governance layers — ready to scale.

Run Better
We optimize costs, boost performance, and ensure your team is empowered with a production-ready setup.