Home » Technology Services » Data Pipelines & ETL/ELT
Design and implement efficient, scalable data pipelines that move, transform, and deliver the right data to the right systems accurately and on time.
At Branch Boston, we design and deploy enterprise-grade data pipelines that deliver clean, consistent, and analytics-ready data. Our ETL and ELT solutions are built to scale across hybrid and multi-cloud environments enabling real-time insights, automation, and intelligent decision-making.
Every business runs on data movement. We architect data pipelines that extract, process, and deliver information from multiple sources into unified, analytics-ready destinations.
Our experts apply principles from Data Strategy & Architecture and cloud best practices to design resilient systems that adapt to changing data volumes and business needs. Whether batch or real-time, our pipelines are optimized for speed, reliability, and governance.
No two data environments are alike. We determine whether ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) best fits your use case.
Our ETL solutions perform complex transformations before loading data into your warehouse ideal for controlled, structured environments. Meanwhile, our ELT architectures leverage modern data warehouses like Snowflake, BigQuery, and Redshift for in-place transformations that reduce latency and cost.
We combine both approaches to support hybrid ecosystems using Cloud Infrastructure and containerized workflows for flexibility and scalability.
Modern enterprises can’t wait for insights. We build event-driven and streaming pipelines using Apache Kafka, Spark Streaming, and Airflow to process data in motion.
These systems integrate seamlessly with Azure Cloud Solutions and other cloud-native services to deliver up-to-the-minute intelligence for analytics, automation, and AI applications. From IoT feeds to financial transactions, our streaming pipelines ensure low latency, fault tolerance, and end-to-end observability.
Data is only valuable when it’s trustworthy. We implement automated data validation, anomaly detection, and lineage tracking to ensure data integrity across every pipeline.
Our frameworks integrate SLA-driven monitoring through SLA Framework principles so you always know your data is accurate, compliant, and available. We also provide visualization dashboards that track performance, throughput, and quality in real time.
We use Infrastructure as Code to automate pipeline deployment, configuration, and scaling. This ensures consistency, speed, and reliability across environments reducing manual error and accelerating delivery.
Our DevOps integration approach leverages CI/CD DevOps Automation pipelines for continuous testing and seamless releases, enabling teams to evolve their data infrastructure efficiently.
Every business runs on data movement. We architect data pipelines that extract, process, and deliver information from multiple sources into unified, analytics-ready destinations.
Our experts apply principles from Data Strategy & Architecture and cloud best practices to design resilient systems that adapt to changing data volumes and business needs. Whether batch or real-time, our pipelines are optimized for speed, reliability, and governance.
No two data environments are alike. We determine whether ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) best fits your use case.
Our ETL solutions perform complex transformations before loading data into your warehouse ideal for controlled, structured environments. Meanwhile, our ELT architectures leverage modern data warehouses like Snowflake, BigQuery, and Redshift for in-place transformations that reduce latency and cost.
We combine both approaches to support hybrid ecosystems using Cloud Infrastructure and containerized workflows for flexibility and scalability.
Modern enterprises can’t wait for insights. We build event-driven and streaming pipelines using Apache Kafka, Spark Streaming, and Airflow to process data in motion.
These systems integrate seamlessly with Azure Cloud Solutions and other cloud-native services to deliver up-to-the-minute intelligence for analytics, automation, and AI applications. From IoT feeds to financial transactions, our streaming pipelines ensure low latency, fault tolerance, and end-to-end observability.
Data is only valuable when it’s trustworthy. We implement automated data validation, anomaly detection, and lineage tracking to ensure data integrity across every pipeline.
Our frameworks integrate SLA-driven monitoring through SLA Framework principles so you always know your data is accurate, compliant, and available. We also provide visualization dashboards that track performance, throughput, and quality in real time.
We use Infrastructure as Code to automate pipeline deployment, configuration, and scaling. This ensures consistency, speed, and reliability across environments reducing manual error and accelerating delivery.
Our DevOps integration approach leverages CI/CD DevOps Automation pipelines for continuous testing and seamless releases, enabling teams to evolve their data infrastructure efficiently.
Integrate market data, transaction logs, and compliance reports in real time to drive risk analysis and portfolio insights.
Unify customer, inventory, and sales data streams for improved demand forecasting and personalization.
“Branch Boston has been an amazing company to work with the last 7 years. We gave them a simple yet complex request. Let’s build a system to support the training, onboarding, and recognition for our 140,000 employees. Of course, they delivered by not only building an amazing system but helping us to achieve amazing results.”
Michael Flores,
HR Technology Manager, H-E-B Grocery Company
“I’m really pleased with what we’ve achieved this year.”
“When we first began our eLearning project, we had no idea what to expect. We weren’t sure how we could turn our “human-centric” content into eLearning that captured the emotionality of our work. The team at Branch Boston took us under their wing, guiding us through the process with patience, intentionality and expertise. They took the ideas in our heads and turned them into impactful and engaging learning experiences.”
Amy Brady,
Founder & Co-Creator, The Flourish Lab
“Over the past year, we have benefited greatly from Branch Boston. They challenge our conventions and open us up to new and better methods. The team is unflaggingly positive, thoughtful, and funny. My highest recommendation goes out to Branch Boston.”
James Flaherty,
Director of Marketing and Communications, Tufts Health Plan
“Working with Branch Boston to create the perfect website for NB Fitness Club has been nothing but a breeze. From development all the way to user training and going live, they were there every step of the way. We received the highest quality service and product with a personal touch.”
Lauren Matuszczak,
New Balance Development Group
From data ingestion and transformation to monitoring and governance, we manage the full data lifecycle using modern architectures and automation.
Our pipelines run on cloud-native frameworks that dynamically scale with your data demands and business growth.
We embed governance, validation, and monitoring into every pipeline ensuring accuracy, security, and regulatory alignment.
We analyze, tune, and evolve your data flows over time, optimizing for efficiency, cost, and speed as your business evolves.
From data ingestion and transformation to monitoring and governance, we manage the full data lifecycle using modern architectures and automation.
Our pipelines run on cloud-native frameworks that dynamically scale with your data demands and business growth.
We embed governance, validation, and monitoring into every pipeline ensuring accuracy, security, and regulatory alignment.
We analyze, tune, and evolve your data flows over time, optimizing for efficiency, cost, and speed as your business evolves.
Branch Boston to custom build an in-house Learning Management System to replace an Oracle solution that had become costly to license and maintain on a per seat level given the large employee base.
InterSystems engaged in a transformative partnership with Branch Boston, driven by extensive research and discovery, aimed at redefining the brand across multiple digital properties.
A data pipeline automates the movement of data from source systems to destinations like data warehouses, analytics tools, or AI models.
ETL transforms data before loading it into storage; ELT loads raw data first, then transforms it within modern cloud environments for greater flexibility.
Yes. We design hybrid architectures that support batch ETL workflows and real-time streaming for up-to-date insights.
We use Apache Airflow, Spark, Kafka, dbt, and cloud-native tools across AWS, Azure, and Google Cloud for efficient data operations.
Through automated validation, anomaly detection, and SLA-based monitoring that guarantee accuracy and compliance at every stage.
Absolutely. We migrate outdated data pipelines to modern, cloud-native architectures that improve performance and reduce cost.
A data pipeline automates the movement of data from source systems to destinations like data warehouses, analytics tools, or AI models.
ETL transforms data before loading it into storage; ELT loads raw data first, then transforms it within modern cloud environments for greater flexibility.
Yes. We design hybrid architectures that support batch ETL workflows and real-time streaming for up-to-date insights.
We use Apache Airflow, Spark, Kafka, dbt, and cloud-native tools across AWS, Azure, and Google Cloud for efficient data operations.
Through automated validation, anomaly detection, and SLA-based monitoring that guarantee accuracy and compliance at every stage.
Absolutely. We migrate outdated data pipelines to modern, cloud-native architectures that improve performance and reduce cost.