AWS Data Engineering Services
Data is the fuel for today’s decisions. But raw data often lives in silos and needs processing. Our AWS Data Engineering Services gather, clean, and centralize your data so you can focus on insights. We build data lakes and pipelines on AWS using tools like Amazon S3, Redshift, and AWS Glue. For example, AWS Glue is a serverless integration service that makes it easy to discover, prepare, and combine data. We also use AWS storage services (S3, RDS, Redshift) to store your data securely and cost-effectively, making it easy to access for analysis. The result is a unified data foundation that powers faster, smarter decisions.
Why Choose Our AWS Data Engineering Services
You need fast, reliable insights. We focus on what you need and use proven AWS tools to deliver them. Our team is AWS-certified and experienced across the analytics stack. When you work with us, you get:
Automated pipelines
We use AWS managed services so you spend less time on manual work. AWS managed services automate routine tasks and scale with your data, giving you higher automation and cost efficiency.
Expert team
You tap into AWS-certified data engineers skilled in core AWS analytics services. We work with Amazon Athena, Kinesis, EMR, Redshift and more, so your data flows through the right tools.
Secure, cost-effective storage
Your data is safely stored on AWS. Services like Amazon S3 and Redshift let you save data at scale and run queries without big infrastructure costs. AWS includes built-in security features and compliance support, so you can trust your data is protected (we enforce GDPR, HIPAA and other standards as needed).
Real-time insights
Stay up to speed with live data. We stream data with Amazon Kinesis, a scalable service that can capture gigabytes of data per second from many sources. This lets you react to events instantly, whether it’s user activity, sensor readings, or sales transactions.
Our focus is on delivering measurable value. By using proven AWS data services, we help you get data into action faster.
Our Comprehensive AWS Data Engineering Services
We cover all your data needs on AWS. Our services include:
Data integration and ETL
We build pipelines that extract, transform, and load (ETL) your data. Using AWS Glue (a serverless ETL service), we clean, normalize, and move data between sources and targets so it’s analysis-ready.
Data lakes and warehouses
We design and implement data lakes on Amazon S3 for raw and historical data, and data warehouses on Amazon Redshift for fast analytics. Redshift is a fast, fully managed data warehouse optimized for complex queries. Together, they give you a single source of truth for all your data.
Real-time streaming
We set up streaming architectures with Amazon Kinesis and Lambda so you can process data as it arrives. Kinesis continuously captures live data from web apps, devices, and databases, allowing you to analyze events in real time.
Big data processing
For large-scale data jobs, we deploy Apache Spark and Hadoop on Amazon EMR. EMR is a managed cluster platform that simplifies big data processing, letting you run Spark and Hadoop on AWS without managing servers. It’s perfect for heavy ETL, log processing, and machine learning workloads.
Ad-hoc analytics
We enable interactive queries with Amazon Athena, a serverless query engine for data in S3. Athena lets you run SQL queries on your data lake and pay only per query. We also set up dashboards and reports with Amazon QuickSight so you can explore and visualize data easily.
Data governance and security
We implement AWS Lake Formation and IAM policies to control access to your data. You’ll have a catalog of your data and strong security settings, giving you confidence that data is consistent and compliant.
Each service is tailored to your needs. Whether you’re consolidating databases or streaming events, we have the AWS expertise to build the right solution.
Our AWS Data Engineering Process
We guide you every step of the way. You stay involved and informed as we turn your data goals into reality:
Discovery
We start by understanding your data sources and goals. We ask: What data do you have? What questions must it answer? This sets the requirements.
Design
Next, we architect your solution. We design data pipelines and storage on AWS. We may plan an S3 data lake, Redshift warehouse, and ETL flows with AWS Glue. For example, AWS recommends using Glue for powerful ETL capabilities. We also choose orchestration tools (like AWS Step Functions or Apache Airflow) to automate workflows.
Development
Then we build your pipelines. Our engineers write ETL jobs, set up Kinesis streams, configure Redshift clusters, and implement security controls. We test each component to ensure data flows correctly.
Deployment
We deploy the solution to AWS. This includes automating infrastructure with AWS best practices. You begin to see data moving into the central store.
Optimization
Finally, we tune performance. We monitor jobs, adjust configurations, and ensure queries run fast. Because we leverage AWS managed services, your pipelines can auto-scale with demand, giving you reliability as data grows.
Throughout the process, we use repeatable templates and AWS guidelines so your system is robust and maintainable. You’ll get documentation and support as your data platform goes live.
AWS Data Engineering Solutions Across Industries
No matter your field, data is key. We serve businesses in finance, retail, healthcare, manufacturing and more. Each industry has its own data needs, and AWS handles them all. For example, a financial firm needed a unified view of trading data and customer profiles. We built a data platform on AWS, using Glue and S3 to ingest diverse sources and Redshift to analyze portfolios. In fact, Stifel Financial (an investment bank) used AWS Glue to create a modern data platform for domain-specific insights. They cataloged data with Glue Catalog so teams could easily find and query it.
Across industries, the pattern is similar. A data lake on AWS lets you store all structured and unstructured data at any scale. Once stored, you can run many types of analytics – from dashboards to machine learning – without moving data out of the lake. For example, retailers can combine sales, inventory and web data in real time; healthcare organizations can aggregate patient records and research data; manufacturers can stream sensor data for predictive maintenance. AWS provides the services, and we adapt them to solve industry-specific challenges. Whatever your sector, we’ll tailor AWS Data Engineering to fit your data landscape.
Proven AWS Data Engineering Results
Our solutions get results you can measure. Clients have seen major gains in speed, cost, and agility. Consider this real-world example: GoDaddy moved its analytics workloads to AWS EMR Serverless, and cut costs by over 60% while getting 50% faster processing on Spark jobs. This was achieved by using AWS-managed infrastructure and optimizing their pipelines. Data workflows ran much quicker and cost far less than on fixed clusters.
Another AWS case study shows a financial firm achieving its goals: after building a scalable AWS data platform, Stifel empowered its teams to make data-driven decisions across the company. In their words, the new system “empowers domain teams to make informed decisions, drive innovation, and maintain a competitive edge”.
These examples highlight what’s possible. With AWS Data Engineering, you get a platform that scales, speeds up queries, and lowers costs. We follow these proven patterns so you see similar gains.
AWS Tools & Technologies We Use
Our engineers use a wide range of AWS services to build your data platform. Here are the key technologies we work with:
Amazon S3 (Data Lake)
Secure object storage for all types of data. We use S3 as the foundation of your data lake, storing raw and refined data at scale.
Amazon Redshift (Data Warehouse)
A fast, fully managed cloud data warehouse for analytics. Redshift handles large volumes of data and complex queries to power reports and dashboards.
AWS Glue (ETL & Catalog)
A serverless data integration service. We use Glue to build ETL pipelines and maintain a central data catalog so your data is easy to find.
Amazon Athena (Interactive SQL)
An interactive query service for data in S3. Athena lets us (and you) run SQL queries directly on the data lake, without moving data to a database first.
Amazon EMR (Big Data Processing)
A managed Hadoop/Spark platform. For heavy data processing, we spin up Spark clusters on EMR to run large ETL jobs and batch analytics.
Amazon Kinesis (Streaming)
A service for ingesting real-time data streams. We use Kinesis to capture live events and feed them into your analytics pipeline instantly.
AWS Lambda (Serverless Compute)
Event-driven functions for processing or loading data. Lambda lets us add custom processing steps and triggers without managing servers.
Amazon QuickSight (BI)
A business intelligence service for visualization. We set up QuickSight dashboards so you can explore and share insights from your data.
AWS Lake Formation
A service to build and secure data lakes. Lake Formation helps us enforce access controls and governance for your data.
Additional services
Depending on your needs, we also work with AWS Database Migration Service (DMS) for migrations, Amazon RDS or DynamoDB for databases, and more AWS analytics tools.
By combining these tools, we ensure your data platform is robust and future-proof. We choose widely-used AWS technologies and use best practices from AWS documentation and our experience.
Take Action with Your Data
You have the data; we have the expertise. Contata Solutions’ AWS Data Engineering Services will turn your raw data into real business results. We build complete data pipelines and platforms on AWS so you can extract value quickly. Whether you need real-time streams or a complete data warehouse, we deliver a solution that fits your needs.
Get a Personalized AWS Data Strategy Session
Ready to see what your data can do? Book a demo with our experts. We’ll walk you through a customized AWS data solution and show how your business can gain insights faster. Don’t let data sit idle – let us help you harness it today.