Rehla Digital
Rehla Digital
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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:

  • Cloud architecture planning

  • Databricks workspace setup

  • Security and access configuration

  • Cost-efficient and scalable infrastructure

  • 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:

  • MLflow setup and tracking

  • Feature Store implementation

  • Model versioning and governance

  • Reproducible ML workflows

  • 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:

  • Centralized data governance framework

  • Role-based access control

  • Data lineage and audit readiness

  • Compliance-friendly architecture

  • Secure collaboration across teams

Get Answers

Why Choose Rehla Digital for Data and Analytics Consulting?

Get answers from a data-first consulting partner who understands both technology and business growth.
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.

Yes. We specialize in Databricks implementation and optimization on AWS, Azure, and Google Cloud.
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.

Absolutely. We design and build batch and real-time data pipelines using Apache Spark, Delta Lake, and streaming frameworks to support analytics, reporting, and machine learning use cases.

My pipelines are built for:

  • High performance and scalability

  • Data accuracy and reliability

  • Analytics and BI readiness

Data security and governance are built into every solution We deliver. We implement data governance frameworks using Unity Catalog, role-based access controls, and audit-ready policies to protect sensitive data while enabling collaboration.

This ensures:

  • Secure access management

  • Compliance with data regulations

  • Clear data ownership and lineage

Yes. We help businesses prepare their data platforms for machine learning and advanced analytics by setting up MLflow, Feature Store, and analytics-ready data models.

This allows teams to move smoothly from data engineering to:

  • Predictive analytics

  • Machine learning experimentation

  • Model deployment and monitoring

Rehla Digital is not just a technical implementation partner — We focus on business-driven data strategy. Every solution is designed to support growth, efficiency, and better decision-making, not unnecessary complexity.

What sets me apart:

  • Business-first data architecture

  • Scalable and future-ready solutions

  • Strong focus on governance and reliability

Clear communication with technical and non-technical teams

Working Process

How It Works

A simple, structured approach to build, scale, and optimize your data and analytics platform — without unnecessary complexity.

Launch Smart

Start with a secure and scalable data foundation.
We begin by understanding your business goals, data sources, and existing cloud infrastructure. Based on this, We deploy a secure, cloud-optimized Databricks environment on AWS, Azure, or GCP — tailored specifically to your analytics and data engineering needs.

Build Fast

Develop high-performance data and analytics systems
. Once the foundation is in place, We design and implement high-performance data pipelines, ETL workflows, machine learning enablement, and governance layers using Spark, Delta Lake, MLflow, and Unity Catalogue — all built to scale as your business grows.

Run Better

Optimize performance, cost, and long-term reliability.
After deployment, We focus on performance tuning, cost optimization, and operational stability. We ensure your data platform is production-ready, well-governed, and easy for your team to use — enabling faster insights and confident decision-making.