At AWS America, we are your premier Data ETL (Extract, Transform, Load) development partner. Our expert data engineers seamlessly integrate into your team, helping you build scalable, efficient, and secure data pipelines. Whether you need to migrate, transform, or automate data workflows, we provide the expertise to optimize your data infrastructure for real-time insights and analytics.
Our engineers specialize in Apache Airflow, Amazon Glue, Talend Informatica and custom ETL solutions to streamline data processing workflows.
We develop scalable ETL pipelines for cloud platforms such as AWS, Google Cloud, and Azure, as well as hybrid and on-premise environments.
We enable real-time data ingestion and analytics using technologies like Kafka, Spark, Flink, and BigQuery to support business intelligence and decision-making.
Our team ensures efficient data cleansing, deduplication, and structuring to maintain high data quality and compliance with regulatory standards.
We help businesses optimize data storage by implementing ETL processes for data warehouses such as Snowflake, AWS Redshift, and Google BigQuery, enabling seamless reporting and analytics.
We assess your data infrastructure and define an optimized ETL strategy based on your business needs.
Our engineers build robust, scalable ETL workflows that ensure seamless data extraction, transformation, and loading.
We continuously monitor and refine ETL processes to enhance performance, reduce costs, and improve data integrity.
AWS America developed an automated ETL pipeline using Apache Airflow and AWS Glue for a multinational retailer, reducing data processing time by 70% and enabling real-time inventory management.
We designed and implemented an ETL pipeline on Snowflake for a financial technology company, optimizing data ingestion and analytics capabilities. The solution improved query performance by 60% and reduced operational costs.
AWS America deployed a Kafka-based real-time ETL solution for an e-commerce company, enabling live tracking of customer interactions. This led to a 25% increase in targeted marketing effectiveness and higher customer engagement.
We built an ETL pipeline using Talend and BigQuery to automate data integration for HIPAA-compliant reporting. The solution streamlined compliance processes and reduced manual data handling by 80%.