Round the clock technologies
Round the clock technologies

From Data Migration to Activation, We Pave Your Way for Scalable Growth

Integrated. Scalable. Optimized.
As a leading provider of data engineering services, we specialize in helping businesses transform their data into actionable insights. Our data engineering team utilizes best practices to design, build, and maintain the systems necessary for organizing and analyzing large volumes of data. Our customized solutions can help businesses streamline data management and optimize data analysis for better decision-making

Comprehensive Data Engineering Services to Meet Your Business Needs

At Round the Clock Technologies, we have deep expertise in all aspects of data engineering, from data ingestion and modeling to data warehousing and analytics. Our services include:
We can help you collect and process data from a variety of sources, including databases, cloud storage, and streaming platforms.
Our team can help you design and implement data models that are optimized for your specific use case, ensuring accurate and efficient data processing.
We can help you transform your data into the formats and structures needed for your applications and systems.
Our data enrichment services help you enhance your data with additional information, such as demographics or geolocation data, to improve your analysis and decision-making.
We establish and enforce governance policies, implement frameworks, define data lineage, and ensure compliance with regulations like GDPR, HIPAA, and CCPA.
Safeguard your data with our advanced security solutions. We prioritize confidentiality, integrity, and availability throughout the engineering process

Our Proven Data Engineering Process for Success

  • 1

    Discovery and Planning: During the discovery and planning phase, we work closely with you to understand your data management goals, requirements, and challenges.

  • 2

    Design and Development: In the design and development phase, we develop and implement customized data engineering solutions that meet your specific needs.

  • 3

    Deployment and Maintenance: During the deployment and maintenance phase, we deploy the solution and provide ongoing support and maintenance to ensure its optimal performance.


Embrace a world without data boundaries - our comprehensive data engineering solutions transcend limitations, empowering your digital journey

Data Lake Implementation

Design and implement scalable and cost-effective data lakes for storing raw and unprocessed data, enabling advanced analytics and machine learning capabilities.

Real-Time Data Streaming

Ingest and process streaming data from various sources in real-time, empowering you to make informed decisions swiftly in a fast-paced business environment.

Big Data Processing

Handle large volumes of structured and unstructured data efficiently through distributed data processing and analytics using technologies like Apache Hadoop, Apache Spark, or cloud-based services.

Data Transformation & Modeling

Transform and cleanse data to ensure compatibility with target systems and analytical processes. Develop efficient data models to enhance data consistency, query performance, and support complex reporting and analysis.

Data Visualization & Reporting

Create interactive dashboards and reports with Tableau, Power BI, or custom tools. Uncover patterns, trends, and anomalies through intuitive visualizations, empowering data-driven decision-making.


Harnessing Cutting-Edge Technologies and Tools for Effective Data Engineering

Apache Hadoop is a framework for distributed storage and processing of big data across clusters, using technologies like Hadoop Distributed File System (HDFS) and MapReduce.
Apache Spark is open-source analytics engine that processes large-scale data for various purposes, such as data engineering, science, and machine learning.

Apache Kafka is a distributed event store and stream processing platform. It is a Java and Scala-based open-source system created by the Apache Software Foundation.

Database Tools

MySQL is an open-source relational database management system (RDBMS) widely used for storing and managing structured data.
PostgreSQL is an advanced open-source object-relational database management system known for its robustness and extensibility.
Oracle Database is a commercial, enterprise-level relational database management system. It offers a comprehensive set of features
MongoDB is a popular NoSQL database that uses a document-oriented model for storing data. It offers flexibility in data schema, scalability, and high performance for handling unstructured or semi-structured data.
Apache Cassandra is a highly scalable and distributed NoSQL database designed for handling massive amounts of data across multiple nodes. It provides high availability, fault tolerance, and linear scalability.
Redis is an open-source in-memory data structure store that supports various data types. It is known for its exceptional performance and low latency, making it ideal for caching, session management, real-time analytics, and high-speed data retrieval.

Extract, Transform, and Load (ETL) Tools

Apache NiFi is an open-source data integration and flow management tool. It offers a visual interface for designing data pipelines, enabling easy extraction, transformation, and loading of data from diverse sources.
Apache Airflow is an open-source platform for programmatically creating, scheduling, and monitoring workflows. It provides a rich set of tools and features for orchestrating complex data pipelines, allowing users to define dependencies, schedule tasks, and track job execution.
Informatica is a leading enterprise data integration and management software company. It offers a comprehensive suite of products and solutions for data integration, data quality, data governance, and master data management.

Data Warehousing Tools

Amazon Redshift is a fully managed data warehousing service designed for analyzing large datasets. It provides high-performance, petabyte-scale data storage, with columnar storage and parallel query execution.

Google BigQuery is a serverless, highly scalable data warehouse designed for processing and analyzing massive datasets. It enables fast and interactive querying using a distributed architecture and supports SQL queries and advanced analytics.

Snowflake is a cloud-based data warehouse platform known for its elasticity, scalability, and ease of use. It allows users to load and analyze structured and semi-structured data using standard SQL.

Data Integration Tools

Talend is a widely-used data integration and data quality platform that offers a range of tools for designing, developing, and managing data integration workflows. It empowers organizations to efficiently integrate, transform, and govern data across diverse systems and applications.
Informatica PowerCenter is a leading enterprise data integration and ETL (Extract, Transform, Load) tool. It offers a scalable and flexible platform for designing, executing, and monitoring complex data integration workflows.
SSIS is a component of Microsoft SQL Server that provides a comprehensive platform for data integration and ETL tasks. It offers a visual development environment for designing workflows and supports data extraction, transformation, and loading operations.

Data Visualization Tools

Tableau is a powerful data visualization and business intelligence tool that allows users to create interactive and visually appealing dashboards, reports, and charts. It offers a wide range of visualization options and supports advanced analytics capabilities.
Power BI is a business analytics and data visualization platform developed by Microsoft. It empowers users to connect to various data sources, create interactive reports and dashboards, and share insights across the organization.
QlikView is a user-friendly data discovery tool with an associative data model for interactive exploration and visualization of data from multiple sources. It is a powerful data discovery and business intelligence tool with an intuitive interface.

Cloud Platforms

AWS is a comprehensive cloud computing platform that offers a wide range of services, including storage, computing power, databases, analytics, and machine learning.
GCP is a suite of cloud computing services by Google that offers infrastructure, storage, analytics, machine learning, and application development tools. It provides scalable and reliable cloud solutions.
Azure is a cloud computing platform by Microsoft that provides a suite of services for building, deploying, and managing applications and services through Microsoft-managed data centers.

Solutions for Businesses

Cloud Solutions

Make your cloud journey a seamless ride with us.

Quality Assurance

Deliver impeccable products with our testing and QA solutions.

Software Development

Leverage our cutting-edge development solutions.

Latest blogs

Delve into the latest digital and technological trends in the industry.

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