Data Lake Services

Q: Cloud-Native Data Lake Architecture

We build elastic, cloud-first data lake architectures on AWS, Azure, and Google Cloud. Our engineers design ingestion, storage, and compute layers that adapt dynamically to changing workloads delivering cost efficiency and high performance . Architected to scale, governed to last.

Q: Data Ingestion & Integration

Seamlessly ingest batch, real-time, and streaming data from diverse sources — ERP, CRM, IoT, APIs, or legacy systems. We use technologies like Apache Kafka, AWS Glue, Azure Data Factory, and Databricks to automate extraction, transformation, and load (ETL/ELT) processes. Every dataset, every stream unified in motion and at rest.

Q: Data Lake Governance

A powerful data lake is only as valuable as it is trusted . Programmatic embeds data governance frameworks with metadata management, data lineage, and access control ensuring every dataset is discoverable, compliant, and consistent. Governance is the backbone of intelligence — not a bottleneck.

Build a Centralized Data Lake for Smarter Analytics

Our Data Lake solutions unify structured and unstructured data for analytics and AI.

We architect scalable, secure lakes with seamless ingestion, governance and integration.

Gain a unified foundation for enterprise intelligence

Enterprises Need a Modern Data Lake

Traditional systems weren’t built for the explosive volume, velocity, and variety of modern data. Legacy architectures lead to data fragmentation, latency, and missed opportunities.

Empower Your Data with AI-Driven Support

Unified Data Foundation

Centralize structured and unstructured data into one intelligent, scalable, and accessible ecosystem.

Flexible Data Ingestion

Support both batch and streaming pipelines to handle diverse, high-volume enterprise data flows.

AI-Ready Data Platform

Enable seamless integration for AI, BI, and ML workloads to drive insight and innovation.

Governed Data Intelligence

Silos with metadata driven governance that ensures accuracy, compliance, and trusted analytics.

We don’t just deploy data lakes — We engineer intelligence into them.

Our Data Lake Capabilities

Cloud-Native Data Lake Architecture

We build elastic, cloud-first data lake architectures on AWS, Azure, and Google Cloud.
Our engineers design ingestion, storage, and compute layers that adapt dynamically to changing workloads delivering cost efficiency and high performance.

Architected to scale, governed to last.

Data Ingestion & Integration

Seamlessly ingest batch, real-time, and streaming data from diverse sources — ERP, CRM, IoT, APIs, or legacy systems.
We use technologies like Apache Kafka, AWS Glue, Azure Data Factory, and Databricks to automate extraction, transformation, and load (ETL/ELT) processes.

Every dataset, every stream unified in motion and at rest.

Data Lake Governance

A powerful data lake is only as valuable as it is trusted.
Programmatic embeds data governance frameworks with metadata management, data lineage, and access control ensuring every dataset is discoverable, compliant, and consistent.

Governance is the backbone of intelligence — not a bottleneck.

Data Lake Modernization & Migration

Still running on Hadoop or legacy data lakes. We modernize them into server less, cloud-native data lakehouses with integrated compute and analytics layers.
Our team ensures zero data loss, schema preservation, and near-zero downtime migration.

Migrate once. Modernize forever.

Our Approach

From Raw Data to Intelligence

Assessment & Strategy

Evaluate current data systems, compliance posture, and business needs.

Architecture Design

Define scalable lakehouse or multi-zone lake architecture.

Data Ingestion & Pipeline

Connect all structured and unstructured data sources.

Governance & Security

Enforce lineage, cataloging, and access control.

Analytics & AI Enablement

Integrate with BI, ML, and LLM applications.

Optimization & Observability

Automate quality checks, performance, and cost optimization.

2026 Guide to Data Services: Building a Modern Data Lake

Modern enterprises are shifting from static storage to dynamic, AI-driven data lakes.
Our 2026 Guide explores how to architect intelligent, secure, and scalable lake systems.

Highlights:

Designing multi-cloud, elastic data lake frameworks
Integrating real-time streaming with AI/ML pipelines
Leveraging Delta Lakes for governance and analytics
Ensuring data quality and lineage tracking

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Why Choose Programmatic For Data Lake Consulting Services?

Programmatic builds AI-infused, automation-driven data lakes designed for insight and intelligence. With multi-cloud architecture, scalable governance, and outcome-based delivery, we turn data into a strategic engine for innovation and business growth.

AI-Infused Insights: Leverage advanced AI technologies to extract actionable insights from your data, enabling smarter decision-making.
Scalable, Secure Architecture: Our multi-cloud approach ensures seamless scalability and robust data governance, keeping your data secure and easily accessible.

Technologies We Use.

Frequently Asked Questions

What’s the difference between a data lake and a data warehouse?

A data lake stores raw, unstructured, and semi-structured data for AI and analytics, while a data warehouse stores structured, processed data for BI. We often integrate both into a unified lakehouse architecture.

Can you integrate existing on-premise systems into the cloud data lake?

Yes we specialize in hybrid integration, enabling real-time sync between legacy systems and cloud-native platforms.

How do you ensure data security in a data lake?

We enforce encryption, IAM-based access control, audit trails, and compliance frameworks like GDPR and HIPAA.

Do you build lakehouses too?

Absolutely. We design and deploy data lakehouse architectures that combine the flexibility of data lakes with the performance of warehouses.

What Our Customers Say.

Programmatic has increased the client's social media engagement. The team is organized, communicates updates efficiently, holds weekly meetings, and collaborates through email and messaging apps. Moreover, Dart Marketing executes tasks quickly and has a high-level collaboration approach.

Stacey Hyatt Corporate Communications Manager

Programmatic has delivered a working MVP that meets the client's expectations. The team has delivered items on time and ensured every aspect of the product aligns with the given specifications. CodeNinja's strong understanding of the project goals has been crucial to the collaboration's success.

Catherine Bottrill CEO, Pilio

Programmatic success will be measured by increased user engagement, satisfaction, and retention. Their project management is structured around an agile, transparent, and collaborative approach that ensures timely delivery, stakeholder alignment, and continuous improvement throughout the project.

Syed Ussama Javed Senior IT Specialist

Explore Our Data Solutions

Looking to optimize your data strategy? Dive into Programmatic’s advanced data services, designed to unlock actionable insights, drive efficiency, and foster data-driven decisions across your organization.

Ready to Harness the Power of Your Data?

Your data is a valuable asset. With Programmatic’s data services, we help you unlock its full potential — transforming raw information into actionable insights, driving smarter decisions, and accelerating business growth.