Data Engineering
From raw data to real impact
Data Engineering
From raw data to real impact
We support companies in building a future-ready data foundation. From developing robust data strategies to integrating, transforming, and migrating data across systems – we enable seamless data flows. Using modern data stack technologies, we design and implement scalable data warehouses and lakes tailored to your needs.
Your path to a Data-Driven Organization with Lizardis
We accompany you on your data journey by establishing an optimal data strategy for data integration and analysis. At the same time, it doesn’t matter to us whether you already have a data strategy and need support in optimizing your data warehouse or whether you are still at the very beginning and lack the right data strategy as well as the appropriate systems. Do you already know which technology fits your requirements? We are happy to help you decide between a data warehouse, a data lake and a data lakehouse or a combination of different systems.
We provide technology- and product-independent consulting as well as holistic support for the expansion and improvement of your ETL or ELT routes, data cleansing, including the selection and implementation of the appropriate technologies and products (e.g. Qlik Replicate and Compose, Amazon Glue, S3 and Redshift, Hadoop, Snowflake, Azure Synapse, etc.).
This is how we support you
In the life sciences sector, regulatory compliance is non-negotiable. Our data engineering solutions ensure data governance that meets the highest standards, including GxP, FDA, and GDPR. We implement strict access controls, audit trails, and data quality frameworks that provide full traceability across your data pipelines. This enables secure, compliant data usage from clinical trials to production environments.
We design ETL and ELT architectures tailored to the complexity of life sciences data ecosystems. Whether integrating data from LIMS, ERP, or clinical platforms, our solutions ensure clean, timely, and consistent data flows. We use automation and transformation frameworks that reduce manual effort, improve data reliability, and accelerate time-to-insight. The result: faster and more informed decision-making across R&D and operations.
We build holistic data platforms that cover every step of the data lifecycle – from ingestion and storage to transformation and consumption. Designed for scalability and interoperability, our platforms support real-time analytics, predictive modeling, and AI applications. Life sciences organizations benefit from seamless integration of lab, production, and patient data to drive innovation and efficiency. Whether on-premise or in the cloud, we ensure your data platform delivers measurable value.
To break down silos and enable self-service analytics, we implement data lakehouse architectures and data mesh principles. This hybrid approach combines the scalability of data lakes with the structure of data warehouses, enabling agile, decentralized data ownership. Life sciences teams gain faster access to trusted data – while IT maintains governance and consistency. These modern architectures empower your organization to scale data usage without sacrificing control.
Technology-independent with technology know-how
We advise you on data integration and system selection tailored to your data strategy, requirements and wishes with
our broad technology know-how. Of course, this also includes leading platforms such as:
Your data is integrated? Here’s how to continue!
Your data has been successfully cleansed, transformed, and enriched? Then the first step towards data analytics is accomplished. This is where it becomes really exciting. Use your data to conduct analyses and gain new insights that will help you improve your business situation.