Data Engineering

Approach

Our Data Engineering teams work closely with various stakeholders to achieve the goals set by Data Governance frameworks for effective data management. They do this within an organization as well as within analytics teams to deliver cutting-edge data solutions that unlock the value of data assets and drive business success. Collaboration and integration are key to our approach, this synergy empowers our clients to leverage the full potential of their data and gain a competitive edge. Their mission is to unlock the full potential of corporate data assets and enable a fast time-to-insight.

Architect

At the core of our Data Engineering expertise lies designing and implementing robust data architectures, enabling seamless integration, storage, and analysis of structured, semi-structured, and unstructured data. Our teams leverage industry-leading technologies and open-source frameworks to build these highly scalable, cost-effective, and secure data platforms using modern Data Lakehouse patterns.

Ingest

We structure data capture pipelines, ensuring data collection from diverse sources. We have extensive experience in handling complex data schemes encompassing scraping, extraction, transformation, loading, quality checks, and lineage tracking. Overall, our teams ensure data integrity and trustworthiness throughout the entire lifecycle.

Process

We are skilled in handling and processing unstructured data at scale, such as crude text, images, and videos. Such data hold immense potential for unlocking valuable insights. Such large-scale processing advantageously leverages the HPC capabilities of leading cloud providers to analyze petabyte-scale data. We master both batch and real-time data processing to match business-critical requirements in today's fast-paced environment to deliver live assessments and enable proactive decision-making.

Store

We help clients design and implement scalable and cost-effective storage solutions that meet their specific needs. Whether it's building a data lake on cloud-based storage platforms like AWS S3 or Azure Data Lake Storage, deploying a traditional data warehouse on-premises, or embracing a Lakehouse architecture that combines the best of both worlds, our expertise ensures that clients can efficiently reach and analyze data where it lives with ease and flexibility.

Monitor

Our Data Engineering teams have a strong focus on automation, scalability, and efficiency to optimize data pipelines and reduce manual interventions.

Use cases

Our Data Engineering expertise played a pivotal role in driving operational excellence for a leading airline company, particularly amid the dynamic landscape following the COVID-19 pandemic. By orchestrating sophisticated data pipelines and harnessing advanced analytics, we facilitated route schedule optimization, enabling our client to adapt swiftly to shifting travel demands. Moreover, our Data Engineering solutions were instrumental in optimizing human resources allocation, and aligning workforce capacity with the volatile travel landscape. Through strategic data integration and analysis, we empowered our client to make data-driven decisions, enhancing operational resilience and agility in an uncertain environment.

Leveraging our Data Engineering prowess, we spearheaded a transformative initiative for an Automotive player focused on data acquisition and processing. Our deployment of several hundred scrapers exemplified our commitment to comprehensive data collection, ensuring the retrieval of equipment details crucial for operational insights. Additionally, our use of cutting-edge machine learning algorithms and textual distance approaches facilitated the categorization of vast datasets, streamlining data management processes