Sigmoid strengthens AWS partnership with Data and Analytics Competency

Recognition underscores Sigmoid’s proven expertise in building high-performance, scalable data solutions on AWS to accelerate enterprise transformation.

San Francisco, CA, June 20, 2025 - Sigmoid, a leading provider of data and AI consulting services, today announced that it has achieved the Amazon Web Services (AWS) Data and Analytics Competency status. This designation recognizes Sigmoid’s deep technical expertise and proven customer success in helping organizations unlock the full value of their data on AWS.

"Achieving the AWS Data and Analytics Competency is a testament to our engineering-first mindset and the advanced capabilities we've built in delivering real-time, large-scale data solutions,” said Mayur Rustagi, Co-founder and CTO at Sigmoid. “Our teams are passionate about driving business outcomes through data ecosystem on AWS data stack", he added.

As enterprises move towards proactive, AI-driven decision-making, there is an increasing need to architect scalable data platforms and operationalize analytics across business teams. Attaining the AWS Data and Analytics Competency differentiates Sigmoid as a trusted partner capable of guiding enterprises through the entire data lifecycle, from ingestion and transformation to predictive modeling and business intelligence – using AWS native tools and frameworks.

“We are pleased to recognize Sigmoid for achieving the AWS Data and Analytics Competency,” said Kevin McCurdy, Principal Partner Segment Leader, Consumer Goods, AWS. “Their ability to deliver high-performance analytics solutions and accelerate data-driven outcomes for customers reflects the kind of innovation and impact the Competency Program was built to highlight”, he added.

Sigmoid offers a comprehensive suite of data consulting services tailored for AWS environments. This includes expertise across Amazon EMR, AWS Glue, Amazon Redshift, Amazon Athena, Amazon S3, Amazon SageMaker, and other key services that power data modernization and AI adoption. With deep experience in managing petabyte-scale datasets, implementing MLOps frameworks, and operationalizing insights, Sigmoid partners with global enterprises to build modern data platforms optimized for speed, agility, and cost-efficiency.

About Sigmoid

Sigmoid combines data engineering and AI consulting to help enterprises gain competitive advantage through effective data-driven decision-making. Some of the world's largest data producers are engaging with Sigmoid to solve complex business problems. Sigmoid's data professionals provide deep expertise in data engineering, cloud, machine learning, generative AI, and DataOps. Learn more at https://www.sigmoid.com.

Achieving the AWS Data and Analytics Competency is a testament to our engineering-first mindset and the advanced capabilities we've built in delivering real-time, large-scale data solutions.

Mayur Rustagi

Co-founder and CTO at Sigmoid

Solutions on AWS

Cloud data warehouse with amazon redshift

Cloud Data Warehousing using Amazon Redshift and Athena

Sigmoid delivers multi-temperature data warehousing solution on Amazon Redshift that is queried by Amazon Athena to generate actionable insights and enable real-time decisions.

Data Lakes on AWS

Sigmoid delivers cost-effective, secure and flexible data lakes for their customers who wants to store and analyze their data to perform data visualization, real-time reporting and run ML models to unlock hidden potential of the data.

MLOps using Sagemaker

Sigmoid has built, trained and operationalized various ML models across use-cases like Demand Forecasting, Churn Analytics, CLTV prediction to name a few using Amazon Sagemaker and EMR.