Data Engineering Services
To Make Informed Decisions

Get answers to your questions

Our clients turn to us to help them reimagine ways of working with technology.

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OVERVIEW

Software & Data Engineering Done Right.

Organizations today create massive amounts of data that must be streamlined and translated into meaningful business insights. Our qualified and experienced Data Engineers and Consultants will build high-performance infrastructure and optimize your data to help you make better decisions and meet your business objectives.

Data Warehousing

Build a centralized repository to store and manage enormous amounts of data. Our services use all data modeling, querying, and analysis capabilities, allowing enterprises to make data-driven decisions.

Data Lakes

Build a Data Lake for data centralization, regardless of its raw format sources. We can build up your Data Lake and get you started on your Big Data journey using our experience deriving useful insights from data.

Data Visualization

Present data into interactive and graphical models such as charts, graphs, and dashboards. Monitor performance, convey information, and identify trends and insights from data visualization output.

Data Processing

Convert raw data into business insight with our assistance and immediately boost your profit margins! Collect and analyze real-time data in batches large enough to handle massive data.

KEY OFFERINGS

Unlock the Potential of Data with Insights

Looking to transform your company into a modern, data-driven entity? Gaining critical customer insights and enhancing corporate growth require data. As a leading data engineering service provider for global brands, we handle the development, deployment, and maintenance of the infrastructure required to analyze and manage enormous amounts of data.

Modern Data Pipelines

Designing, building, and executing high-quality end-to-end automated data pipelines. Payoda’s data engineering consulting team has extensive experience deploying automated data pipelines on-premises and in the cloud.

Data Platforms

We use diverse data architectures to store and handle vast amounts of data and set up data platforms. Our clients use data platforms to collect, organize, and analyze data from various sources, offering insights into their operations, customers, and markets.

Data Preparation and ETL/ELT

Business reporting and advanced analytics require data preparation, processing, and ETL/ELT to transform, load, and load data into the right model. Among other divisions, our Data Engineering team has developed pipelines for Finance, Sales, and Supply Chain.

TECHNOLOGIES

Technologies to Enable Efficient Data Management and Analysis

More growth means more data, which means more work aggregating, organizing, storing, and processing data to keep it relevant to your corporate strategy. We have almost two decades of combined experience in big data implementation, database administration, data architecture development, data integration, and fundamental programming languages, including SQL, Python, R, and Java.