Data Engineering That Works—Scalable, Secure, and Built for AWS

Your data architecture shouldn’t be a bottleneck—it should be a competitive advantage. I build AWS-native data engineering solutions that are scalable, cost-effective, and built for real-world performance. Whether you need high-throughput pipelines, real-time data processing, or rock-solid data governance, I ensure your infrastructure runs like a well-oiled machine.

The Story Behind My Data Engineering Approach

I’ve worked with a lot of teams, and I keep seeing the same data issues pop up:

• Messy, chained ETL jobs – Pipelines that are hard to track, troubleshoot, and scale.
• Data dumped into storage with no metadata – No clear way to track changes or verify accuracy.
• Overly permissive or inconsistent access controls – Security gaps that leave data exposed.

Most of these problems come from a lack of a company-wide strategy for handling data. Without a solid foundation, businesses patch issues instead of solving them. That’s where I step in—helping teams move from reactive fixes to a structured, scalable data architecture that supports their growth.

Common Data Challenges I Solve

• Slow, unreliable data pipelines – Reduce processing time and ensure data freshness.
• Scaling bottlenecks – Architect solutions that grow with your business.
• Compliance and governance headaches – Automate data governance for security and peace of mind.
• Disjointed data storage – Centralize structured and unstructured data with warehousing and data lakes.
• Cloud migration struggles – Move from legacy systems to modern, cloud-native architectures.

My Hands-On Approach to Data Engineering

Data problems don’t fix themselves. Businesses struggle with disorganized pipelines, inconsistent access, and untrustworthy data. I take a hands-on approach to data engineering: building systems that scale, stay secure and make sense for their users.

1. Discovery & Audit – I assess your current data stack and identify inefficiencies.
2. Custom Architecture Design – I build an AWS-optimized data strategy that aligns with your business needs.
3. Implementation & Optimization – I deploy robust, scalable pipelines and ensure seamless integration.
4. Ongoing Support – I stay involved, fine-tuning performance and adapting to evolving requirements.

With this structured approach, you gain a data ecosystem that works today and is built to handle tomorrow’s growth. Whether you’re migrating from legacy systems, dealing with disjointed pipelines, or aiming for real-time insights, I help you confidently get there.

What I Offer – Comprehensive Data Engineering Services

A solid data architecture isn't just about power—it's about making data work for you, not against you. I design systems that are scalable, easy to manage, and built to support real business needs.

• Data Pipeline & ETL/ELT Processes – Design efficient workflows for batch and real-time data movement using AWS Glue, Step Functions, and Lambda.
• Data Warehousing & Data Lakes – Implement scalable storage solutions with Redshift, S3, and Lake Formation to manage structured and unstructured data.
• Big Data Processing & Analytics – Leverage Apache Spark, EMR, and AWS Athena for high-performance, distributed data processing and analytics.
• Real-Time Data Streaming – Build event-driven architectures using Kinesis, Kafka, and Flink for real-time data processing and insights.
• Data Quality, Governance, & Security – Enforce data integrity with validation frameworks, access controls, and automated lineage tracking.
• Cloud-Based Data Architecture – Optimize storage, compute, and security across AWS services to ensure high availability and performance.
• Business Intelligence & Reporting – Integrate BI tools like QuickSight, Tableau, and Power BI for actionable insights and automated reporting.

These solutions don’t just process data—they drive insights, optimize performance, and enable long-term growth.

Why Choose Rock Valley Tech for Data Engineering?

From the first conversation to the final deployment, I work as an extension of your team. My goal is simple: to remove the complexity of data engineering so you can focus on growth and innovation—no fluff, no guesswork—just expert execution that delivers results.

• AWS-Native Expertise – I specialize in AWS data services, ensuring your solutions are cloud-optimized.
• Scalability from Day One – I design for future growth, eliminating the need for costly rework.
• Security & Compliance Built-In – I integrate best security and regulatory compliance practices.
• Performance-Driven – Every solution I build is optimized for speed, cost-efficiency, and reliability.

Let’s Build Your Data Future

Your data infrastructure should be an asset, not an obstacle. If you're ready to take control of your data pipeline, reach out today for a consultation.