Data Engineering

Gain leverage with data. Craft personalized
experience, every time.

DATA ENGINEERING

IMPROVING AND SCALING PRODUCT USING DATA.

From foundational data platforms to advanced analytics, our team integrates the latest in cloud and on-prem technologies to transform data into actionable insights, ensuring your organization stays ahead in a data-driven world.

Clean, coherent data, along with robust data ownership and lineage, are essential foundations for leveraging and scaling the power of AI across the organization.

DATA ENGINEERING

Harness our Industry Expertise

DATA ENGINEERING

With a legacy of over 20 years and expertise across finance, telecommunications, automotive, and retail sectors, our team delivers bespoke data solutions that resonate with your unique industry challenges, driving innovation and superior performance.

our approach

Data Strategy & Governance

Helping product managers, marketers, designers and leaders make smarter, data driven decisions. Maintaining a technology-agnostic mindset and focusing on innovative methodologies allows us to stay ahead of trends.

Through internal R&D and a diligently maintained tech radar, it’s possible to keep track of the latest developments in the field. It also enables us to demystify complex terms such as Data Mesh, Data as a Product, Data Fabric, and Augmented Business Intelligence. It also provides an informed perspective on whether these emerging trends offer potential benefits.

Data Engineering & Analytics

By creating custom data platforms, pipelines and dashboards our experts gain the ability to improve products, fine-tune it to users’ needs, and set it up for market success.

We cover a wide range of data fields and technologies. This includes creating data platforms from scratch, integrating diverse data sources, ensuring data quality, and preparing data for insightful analysis. Ultimately, we reveal these insights through easy-to-understand dashboards.

Technology We Use

Apache Kafka

Apache Spark

Apache Flink

IBM DataStage

Informatica

IBM Cognos

Microsoft PowerBI

Cloudera

Databricks

Trino

AWS

Microsoft Azure

Oracle

Postgres

IBM db2

Neo4J

IBM InfoSphere Data Replication

MongoDB

Redis

Clickhouse

Elastic

Debezium

Fivetran

Starburst

SERVICES

What Can You Expect From Us?

With extensive experience in leading service and product teams for the world’s biggest companies, we can help you with:

Data Architecture & Design

Assessment of existing data architecture and design.
Design and development of scalable and resilient data architectures.
Definition of data models, schemas, and structures for efficient data storage and processing.

Data Integration & ETL

Integration of disparate data sources and systems.
Design and implementation of Extract, Transform, Load (ETL) processes.
Data cleansing, transformation, and normalization to ensure data quality and consistency.

Data Warehousing & Data Lake Implementation

Design and implementation of data warehouses and data lakes.
Configuration of data storage solutions optimized for analytics and reporting.
Integration with BI tools and analytics platforms for data visualization and insights.

Real-time Data Processing & Streaming Analytics

Implementation of real-time data processing pipelines using streaming technologies like Apache Kafka or Amazon Kinesis.
Development of stream processing applications for real-time analytics and insights.
Integration with event-driven architectures for responsive and scalable data processing.

Big Data Analytics & Machine Learning

Setup and configuration of Big Data platforms like Apache Hadoop or Apache Spark.
Development of machine learning pipelines for predictive analytics and data-driven decision making.
Implementation of data science workflows for model training, evaluation, and deployment.

Data Governance & Compliance

Establishment of data governance frameworks and policies.
Implementation of data lineage and metadata management solutions.
Compliance auditing and reporting for regulatory requirements like GDPR or DORA or NIS2.