Data Engineering

At DataMirai is dedicated to serving our customers with the best ETL, data quality pipelines, and other data processing and analytics needs. We work with different cloud services such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure to provide our customers with the most efficient and effective data processing solutions.

Our expertise encompasses a range of databases including PostGreSQL, MySQL, and MongoDB, and we have deployed applications on cloud platforms including AWS, GCP, and Heroku. As a versatile and technically proficient team, we bring expertise in building and maintaining data pipelines with tools such as Pandas, GreatExpectations, and Apache Airflow.

In addition, we provide end-to-end data solutions for our clients, starting from data extraction and cleaning to processing and analysis. We help our clients integrate their data pipelines with the appropriate data visualization tools, such as Power BI and Tableau, to gain insights into their data and make informed decisions.

At DataMirai, we understand that data quality is crucial for the success of any data-driven business, which is why we prioritize data quality monitoring and testing in our data processing and analytics solutions. We utilize advanced data quality tools such as Datamade and DataRobot to ensure that our clients’ data is clean, accurate, and reliable.

Overall, our team is committed to providing our clients with tailored data solutions that align with their business objectives. We work closely with our clients to understand their unique data challenges and provide customized data solutions that deliver measurable results.