6 Best AWS Consulting Services for Building Secure Data Lakes and Analytics Platforms
Data is ubiquitous. Yet most businesses do not know how to make use of it properly. Data is stored in silos within various business functions. The data analytics teams devote 80 percent of their time to processing data rather than analyzing it.
Building a modern data lake solves these problems. Amazon S3 stores everything. AWS Glue catalogs and prepares the data. Athena lets users query it without spinning up servers. Redshift handles heavy analytics workloads. QuickSight turns numbers into dashboards.
Now, getting all these services working together is the challenge.
That’s where specialized AWS consulting services and solutions come in. The right partner builds secure, scalable data platforms that deliver real business value. Avenga leads with comprehensive data engineering and AI/ML expertise.
What Makes a Data Lake Partner Stand Out
Data lake projects fail for predictable reasons. Poor security architecture. Uncontrolled costs. No governance. Partners who understand these pitfalls make all the difference.
Critical capabilities to look for:
- Security and governance — Fine-grained access controls with Lake Formation. Encryption everywhere. Compliance monitoring baked in.
- Scalability — Solutions that handle growing data volumes without breaking performance or budgets.
- Integration — Seamless connections with existing BI tools and applications.
- Cost management — Storage tiering, compression, and lifecycle policies to control expenses.
Why these partners: All of these firms have experience in implementing many large-scale data lake projects. Both firms have appropriate AWS expertise in the areas of data and analytics. But most importantly, both know that data lakes are all about business results.
1. Avenga
Data lakes are messy. Data comes from everywhere. Different formats. Different speeds. Different levels of trust. As a trusted AWS partner, Avenga builds data pipelines that actually work and keeps them secure from day one. These guys clean up the mess.
The firm connects S3, Glue, Athena, and QuickSight into pipelines that deliver results. Avenga’s certified AWS consultants know these services inside out. They also know how to lock down data access and encryption from the start.
Security is never an afterthought. Fine-grained controls. Full encryption. Constant compliance monitoring. For finance and healthcare clients, this level of protection is non-negotiable. Regulators expect nothing less.
The team also builds automated ML pipelines. Predictions happen automatically without manual work. Insights arrive when needed, not when someone remembers to run a report.
What they do with data:
- Connects Amazon S3, Glue, Athena, and QuickSight into working pipelines
- Implements automated ML pipelines that predict outcomes without manual work
- Sets up governance frameworks that satisfy regulators
- Builds dashboards that business teams actually use
2. SoftServe
SoftServe has been doing data work for a long time. Before “big data” was a buzzword. Before, every company wanted a data lake. They’ve seen the trends come and go.
The company holds Premier Tier Partner status. They run a Big Data & Analytics Center of Excellence. Hundreds of data engineers work there. They build solutions for healthcare, finance, manufacturing, retail, and energy.
Their team works with AWS Glue, S3, Athena, Lambda, and EKS. They know batch processing. They know streaming. They know how to build pipelines that handle spikes without breaking.
Regulated industries trust SoftServe. Healthcare. Financial services. Government. They’ve navigated HIPAA and HITRUST. They understand the compliance burden and know how to build data platforms that satisfy auditors.
What they do with data:
- Handles data whether it arrives in daily batches or streams in real time
- Designs architectures that pass HIPAA and HITRUST audits for healthcare and government clients
- Creates analytics platforms for healthcare, finance, and manufacturing sectors
- Builds cohesive pipelines using AWS Glue, S3, Athena, Lambda, and EKS
3. GlobalLogic
GlobalLogic became a Premier Tier Partner in May 2025. The company has over 600 AWS-certified engineers. Their data platform accelerator is a game-changer.
Here’s how it works. Pre-built templates. Automation scripts. Best practices baked in. Clients get a working data platform faster. Weeks instead of months. Less custom coding. Fewer bugs. More predictable outcomes.
The firm holds competencies in Financial Services, Automotive Services, Migration & Modernization, and Cloud Operations with DevOps. They also hold Service Delivery designations for Control Tower, Amazon Connect, and Amazon QuickSight.
For enterprises in regulated industries, this breadth matters. One partner handles compliance, operations, and analytics from start to finish. The entire process stays under one roof. Nothing falls through the cracks.
What they do with data:
- Deploys data platform accelerators that cut deployment time from weeks to months
- Configures Amazon QuickSight for business intelligence and dashboards
- Handles compliance across financial services and automotive industries
- Customizes AWS Control Tower for multi-account governance
4. EPAM
EPAM brings something many other companies don’t. We’re talking about scale.
The company is a Premier Tier Partner with over 5,000 AWS certifications. Their data practice has delivered dozens of large-scale analytics platforms.
The firm specializes in cloud-native data solutions. This means modern architecture. Serverless where it makes sense. Containerized where it doesn’t. Designed to grow without breaking.
EPAM has 55,000 engineers across 50 countries. They understand data at every level. Ingestion. Storage. Processing. Visualization. Governance. Monetization. The whole stack.
For global enterprises with complex data needs, EPAM’s scale matters. One partner. One process. Consistent quality across continents.
What they do with data:
- Delivers cloud-native data solutions with serverless and containerized architectures
- Builds data pipelines from ingestion through visualization
- Designs data governance frameworks for global compliance
- Provides data monetization services that turn information into revenue
5. N-iX
N-iX reached Premier Tier status in April 2025. The company has over 200 certified AWS professionals. Their data and analytics practice continues to grow.
What makes them different? European delivery. Competitive pricing. Time zone alignment with Western Europe. Cultural fit that matters for long-term partnerships.
The firm has over 400 cloud engineers and 170+ certifications. They’ve completed 30+ migrations in the last year. Many of those involved in data platform modernization.
The Everest Group named N-iX an Aspirant among AWS providers in 2025. Growing reputation. Growing team. Growing capabilities in data and analytics.
What they do with data:
- Builds data pipelines for analytics and machine learning workloads
- Delivers data modernization and migration projects
- Provides European delivery with competitive pricing
- Uses solution accelerators and pre-configured migration assembly lines
6. Persistent
Persistent holds Premier Tier Partner status with over 10 competencies. The company has more than 1,700 AWS certifications. Their data modernization practice is well-regarded.
What sets them apart? AWS Transform. It’s AWS’s first “Agentic AI” service for large-scale modernization. Persistent uses it to automate discovery, dependency mapping, and migration planning. What took weeks now takes hours.
The company also runs proprietary accelerators. PiOLA handles migration assessment. PiCAS automates infrastructure as code. PiCloud adds a GenAI-powered interface on top.
Real results back up the claims. They helped a clean energy leader achieve 46% faster migration and 83% lower risk. That’s the kind of outcome that matters for enterprise data projects.
What they do with data:
- Implements data lake and analytics platforms for enterprise clients
- Leverages AWS Transform for automated discovery and migration planning
- Uses PiOLA and PiCAS accelerators for assessment and automation
- Delivers cloud-native data solutions with AWS competencies
Essential AWS Services for Data Lakes
Data lakes don’t build themselves. They require specific AWS services working together in harmony. Here are the core tools that make modern data platforms possible.
Storage that doesn’t break the bank
Amazon S3 holds data at any scale without upfront costs. Lifecycle policies shift older data to cheaper storage tiers automatically. Intelligent tiering handles this without anyone lifting a finger.
Cataloging and preparation
AWS Glue finds and catalogs data wherever it lives. It generates ETL code that cleans and transforms information without manual effort. Serverless architecture means no clusters to manage. Just upload data and let Glue handle the rest.
Querying without servers
Amazon Athena runs SQL queries directly on S3 data. No servers to provision. No infrastructure to manage. Pay only for what you scan. For heavy analytics, Amazon Redshift processes petabytes of structured data. Redshift Spectrum extends queries to S3 without loading anything into the warehouse.
Dashboards that update themselves
Amazon QuickSight refreshes dashboards automatically as new data arrives. Built-in ML generates forecasts and spots unusual patterns. Pricing stays predictable with pay-as-you-go.
Security that never sleeps
AWS Lake Formation centralizes who can see what. Permissions work at table and column level. AWS Glue Data Catalog tracks metadata across all sources. CloudTrail logs every API call for audit purposes.
Security Considerations for AWS Data Lakes
Security is not optional for data lakes. Breaches expose sensitive customer information. Fines can reach millions. Reputation damage lasts years.
Keeping data safe
Encryption protects data at rest through AWS KMS. TLS secures everything in transit. Lake Formation controls who accesses what at the table and column level. Regular assessments catch weaknesses before they become problems.
Watching for threats
GuardDuty spots unusual activity across the entire environment. Security Hub pulls findings from every service into one place. Config tracks resource configurations against compliance rules continuously. CloudTrail logs every API call for audit purposes.
What compliance frameworks matter:
GDPR for European operations. HIPAA for healthcare data. PCI DSS for payment card information. SOC 2 for service organizations.
Final Thoughts
Data lake projects fall apart when partners treat them like one-and-done migrations. The right firm brings methodology, deep AWS expertise, and security focus that continues long after launch.
Avenga covers all three.
Their consultants understand the complete lifecycle—ingestion, storage, processing, analytics, governance, and monetization. Compare each partner’s strengths against what your organization actually needs. The right match turns raw information into a real advantage.
Consider each partner’s specific strengths against organizational needs. The best AWS solutions provider transforms raw data into actionable business intelligence.
