Data-Driven Results, Expertly Delivered. From complex data pipeline construction and cloud architecture to insightful analytics, we provide end-to-end data engineering consultancy. Let's architect the systems that power your business growth.
Core Competencies
Data Architecture & Design
Crafting bespoke data architectures from the ground up or re-engineering existing systems for peak performance and scalability. Specializing in solutions using SQL Server, Azure Synapse, Cosmos DB, Snowflake, and TimescaleDB to meet your specific data storage and processing needs.
ETL & Data Pipeline Development
Building robust and automated data pipelines to ingest, transform, and load data from diverse sources – including APIs, web scraping, databases, and file systems. Proficient in Python, Airflow, Azure Data Factory, and custom scripting to ensure reliable data flow.
Cloud Data Solutions (Azure & GCP)
Leveraging the full potential of cloud platforms like Microsoft Azure (Data Factory, Synapse, Cosmos DB, Logic Apps, Azure SQL) and Google Cloud Platform (GCP) to build modern, cost-effective data warehouses, data lakes, and serverless functions.
Data Modernization & Migration
Expertly migrating legacy data systems (like DB2 mainframes or older SQL databases) to modern cloud platforms, ensuring data integrity, minimizing downtime, and unlocking new analytical capabilities.
Performance Optimization & Cost Savings
Identifying and resolving bottlenecks in your data infrastructure. Experienced in refactoring data feeds and processes to achieve significant cost savings and improve query performance.
Automation & Custom Tooling
Developing custom applications and tools (Python, Excel VBA, Go) to automate repetitive data tasks, improve monitoring, and provide user-friendly interfaces for non-technical users to manage data processes.
Data Quality & Governance
Implementing data quality checks, assertion logic, and alerting mechanisms to ensure data accuracy and reliability, crucial for compliance and trustworthy reporting. Experience in building systems for data sovereignty and regulatory compliance.
Analytics & Reporting Enablement
Structuring data and building semantic layers to empower self-service analytics and robust reporting solutions using tools like Power BI and Looker. Transforming raw data into actionable business intelligence.
Projects
For an international energy consulting firm, we developed an advanced system to track global energy commodity movements. Our team created automated data feeds from specialized APIs, designed a SQL Server relational database, and built a custom Excel VBA application for firm-wide access to key market data. We also led the use of Python for web scraping and API integrations, building a system to consolidate national energy statistics from over 10 countries. This system extracts data from various file formats (PDF, DOCX, XLS) and includes custom alerts.
Our team maintained a Python/Go solution for a data processing startup, focused on extracting and processing information from various documents. We utilized OCR (Azure/GCP), message queuing (RabbitMQ), and a Postgres database to deliver key data via a performant API. Separately, for a lead generation company, we developed web scraping tools to gather and deliver public data on legal practitioners and court proceedings.
For a leading Mobile App Portfolio Company, we developed key data solutions using Python, GCP, Snowflake, and Airflow. This included a custom alerting framework for Snowflake, creating marketing spend and ad revenue data feeds (Facebook, Google, TikTok, etc.), and refactoring data pipelines, which achieved thousands of dollars per month in cost savings. We also migrated data feeds from third-party pay-to-use tool and built a secure, automated data export system for accounting using Google Functions and Snowflake.
We led the development of a modern data warehouse for a client, delivering the solution in under six months. Using Azure technologies (Synapse, Data Lake, Logic Apps), our team cleansed and modeled data from a 40-year-old DB2 mainframe. The project involved creating a semantic layer and developing Power BI dashboards to replace legacy reporting and enable self-service analytics.
Our team designed and built the data architecture for a client's high-frequency electricity trading operations. This key system includes over 100 data pipelines (using Python, Airflow, and TimescaleDB) that ingest data from major European energy sources (ENTSOE, JAO, etc.), supporting their trading activities.
About
Cognitio Nexus offers expert services in designing, building, and optimizing data-intensive applications and architectures. Our firm has a track record of delivering effective solutions across diverse sectors such as global energy, legal tech, large-scale enterprise systems, and mobile applications. We transform complex business requirements into efficient and scalable data systems.
Our approach combines expertise in modern cloud technologies (including Azure, GCP, and Snowflake) with strong data fundamentals (SQL, Python, data modeling). Cognitio Nexus addresses a range of challenges, from designing new systems and modernizing legacy platforms to optimizing data workflows for improved cost-efficiency and performance. We focus on delivering tangible business value and providing clients with actionable insights.