-
Data essentials

Data Engineering Services

Butter & Bread Data offers a range of Data Engineering services for both short- and long-term projects. With expertise in building ETL pipelines using tools like Matillion, Airflow, and Azure Data Factory, I ensure efficient and reliable data workflows. I have worked extensively with database systems such as Snowflake, Azure Data Lake Storage, Azure SQL, Oracle, PostgreSQL, and MySQL

Tailored to meet diverse project needs, our services cover:

Design and development of ETL/ELT pipelines

Creating robust ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) pipelines involves building automated workflows that move data from an external source, to you as an end user. I design and develop these workflows to ensure data is efficiently transferred, transformed, and stored for analytics, reporting and operational processes.

Data migration

Data migration is the process of transferring data from one storage system or format to another, whether moving to the cloud, a new data platform, or consolidating sources. I specialize in managing these migrations to ensure data integrity, accuracy, and minimal disruption to ongoing operations.

Data extraction (API)

I handle data extraction from various data sources like APIs (Application Programming Interfaces), allowing access to data from external platforms and services. By integrating with various APIs, I enable clients to collect batched data feeds for comprehensive analysis.

Data formatting and cleansing

This process involves standardizing and refining data to ensure it’s ready for analysis and decision-making. I identify and correct errors, remove duplicates, and format data for consistency, which improves data quality and usability.

Data analysis and product development

I examine data sources and build data products that transform patterns, trends, and insights into strategic decision-making tools. By translating raw data into actionable outcomes, I help organizations harness data-driven insights to develop and enhance their products and services.

Data testing processes

Data testing is about validating that data pipelines, transformations, and outputs are accurate and reliable. I design and implement testing processes to ensure data quality and integrity at every stage, from initial ingestion to final reporting. Through rigorous testing, I help maintain data accuracy and reliability across systems.