Data Engineering Consulting

How We Support Clients in Data Engineering?

Our Data Engineering practice specializes in designing and constructing robust systems for data ingestion, collection, storage, and analysis. This discipline is crucial across virtually all industries, underpinning many facets of data science.

Our Data Engineers facilitate seamless access to data, performing sophisticated analyses on raw data to develop advanced Data Pipelines and Data Platforms. In the absence of advanced data engineering, making sense of the vast quantities of data available to organizations would be exceedingly challenging. By leveraging cutting-edge technologies and methodologies, we ensure that data is not only Accessible but also Actionable, empowering companies to make informed decisions and maintain a competitive edge in their respective markets.

Data Engineer

Who are our Data Engineering consultants?
Data engineers possess expertise in a variety of programming languages essential to data platform development. They are responsible for constructing data pipelines that facilitate the seamless transfer of data between different systems. Additionally, they handle the transformation of data from one format to another, enabling data scientists to access and analyze data from diverse sources efficiently.

By building and maintaining these pipelines, data engineers ensure that data is:

• consistently available,
• properly formatted,
• and ready for complex analytical processes.

Their work is crucial for integrating disparate data systems, thereby supporting comprehensive data analysis and fostering data-driven decision-making across organizations.

Data Engineering Services

What are Data Engineering Services?
Addepto’s Data Engineering services are designed to elevate your business to the next level in data usage, management, and automation. With our advanced automated data pipelines, you can focus on extracting valuable insights without the hassle of manual data handling.

• Our expert team supports global enterprises, including Porsche, RR, and SITA, in developing sophisticated data processing pipelines.
• We collaborate with our clients to extract critical business information, manage data efficiently, and ensure the highest standards of data quality and availability.

Our strategic project approach and comprehensive data engineering services empower companies to make informed decisions.

Explore our suite of data-related services (case studies) and discover how Addepto solutions can transform your business.

Data Engineering case study

Our Data Engineers work closely with Data Scientists as part of integrated teams. Because of this hands-on collaboration, we understand both the technical demands of building data systems and the real-world needs of analysis and modeling. This helps us avoid disconnects between data engineering and data science, leading to smoother, faster project delivery.

We design and build the data infrastructure your business depends on—whether you’re a startup or a large company. This includes setting up data lakes, optimizing data warehouses, and managing complex data pipelines across industries.

We choose the right tools for each job, working with technologies like AWS (S3, Glue, Redshift, EMR), Apache Airflow, Snowflake, Databricks, Apache Spark, and Kafka. Our work is shaped by your goals, timelines, and budget—not by one-size-fits-all solutions. We focus on doing what works best for your specific case, backed by experience from many successful, real-world projects.

Product Traceability System for a big manufacturing company

Manufacturers face complex operations, expensive downtime, and strict quality standards. We help by building tailored data systems that support smooth production and smarter decision-making.

• Predictive Maintenance – Using sensor data and maintenance history, we help identify wear and failure patterns early—keeping machines running and maintenance costs down.
• Supply Chain Visibility – We link data across procurement, inventory, and production to give planners a clear view of the entire supply chain and improve coordination.
• Quality Control – Real-time monitoring of production data allows for early detection of anomalies, helping reduce defects and ensure product consistency.
• Production Optimization – By centralizing data from every stage of manufacturing, we help teams identify inefficiencies, eliminate bottlenecks, and increase throughput.

Customer Data Platform implementation

In retail, staying competitive means reacting quickly to shifting demand, customer expectations, and supply challenges. Our systems help retailers make smart, timely decisions.

• Customer Profiles and Personalization – We create unified customer views by combining data from online and in-store touchpoints, enabling better targeting and tailored experiences.
• Inventory and Forecasting – Sales trends, external signals, and historical data feed into forecasting models that help keep the right products on the shelves—no more guesswork.
• Dynamic Pricing – We build flexible pricing systems that adjust based on real-time demand, competitor moves, and buyer behavior – maximizing margin while staying competitive.
• Supply Chain Monitoring – Our tools provide continuous tracking of inventory and shipments, helping avoid stockouts, delays, and over-ordering.

Data Engineering in Aviation Industry

Airlines operate under tight safety, scheduling, and cost constraints. We build aviation-grade data platforms to support safer flights and more efficient operations.

• Predictive Aircraft Maintenance – We use sensor streams and maintenance logs to detect signs of wear or failure before they lead to grounded aircraft – improving safety and uptime.
• Fuel Efficiency – Flight data, routes, and weather models come together to pinpoint where airlines can save fuel and reduce emissions.
• Air Traffic and Scheduling – Our systems help operators better manage flight paths and runway use, minimizing delays and improving airspace utilization.
• Passenger Experience – We combine customer feedback with operational data to identify what matters most to passengers and how to improve their journey.

Investment and Financial Services

Fast, accurate data is essential in financial services. We build solid, scalable infrastructure to support trading, compliance, and risk management.

• Market Data Infrastructure – We handle ingestion and organization of high-volume financial data from varied sources, ensuring it’s always clean, accessible, and analysis-ready.
• Trading Systems – Our low-latency pipelines ensure that pricing and trade data flows quickly and reliably – essential for algorithmic trading and real-time analytics.
• Compliance Reporting – We automate data collection and reporting processes, helping firms meet regulatory demands without manual overhead.
• Risk Management – Our solutions bring together portfolio, counterparty, and market data so risk teams can act on a complete, real-time picture.