Data Engineering Services

Empower data-driven business decisions and conquer data-related challenges in every stage of your data modernization journey.
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Our Data Engineering Offerings

With Zymr you can

Data Analytics

Build extensible ecosystem connectors that are reliable for service orchestration, data analytics, or control functions and are scalable to allow for high-velocity data exchange.

Data Pipeline

Experience in batch and streaming data with a record of completing ETL projects from various databases like SQL and NoSQL and open-source frameworks for ingesting high volumes of machine data.

Data Connectors

Develop data connectors for Streaming Analytics and Orchestration - Kafka, Spark, Storm, Samza, and Elastic ELK along with data connectors using Open Source Protocols - REST APIs, WebSocket, and more.

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Hear It From Our Clients

Rini Singh
CEO & Co-Founder

Mozzaz has relied on Zymr to be its solid development partner for the past several years. They have helped us build our enterprise Digital Healthcare platform used by premier healthcare organizations worldwide.

John Ayers
EVP Product Management

Zymr took on the challenge to rapidly implement security device models for 50+ enterprise networking products, such as Cisco, F5, Okta, Aruba, Crowdstrike, Checkpoint, etc., for our SIEM solution.

Shyam Maddali
Senior Director of Engineering

We have been working with Zymr to enhance our financial risk assessment platform for the past several years withthe highest quality and agility and manage billions of dollars of payments secure from fraud.

Gary Baldwin
Head of Product
Development

With a career in tech spanning various markets, I've built and advised companies, valuing quality software. Zymr stands out with smart, efficient, and reliable delivery, making them an invaluable extension of my team. Located conveniently in California with development offices in India, they're a top choice for software needs.

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Home AI&ML Services • Data Engineering

Data Engineering Services

Build scalable, secure, and future-ready data pipelines to streamline analytics, improve insights, and empower smarter business decisions.

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Overview

Your Data Engineering Service Partner

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Our data engineering services help you transform raw data into actionable insights through automated extraction, seamless transformation, and secure pipelines. We specialize in modernizing data solutions to support smarter decisions, forecast trends, manage large-scale datasets, and meet regulatory requirements. With real-time intelligence and reliable analytics, we empower your business to deliver data-driven customer experiences and confidently drive innovation.

30%
AI-accelerated go-to-market
60+
Data quality programs
40%
Costs saved with data-driven automation
50%
Higher productivity with real-time insights
Challenges

Data Engineering Challenges We Solve

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We help optimize data pipelines to ensure high throughput and resolve latency delays.
Our experts ensure data integration across hybrid architectures to encourage flexibility.
We ensure efficient data governance to ensure compliance with all regulations.
We help with easy, risk-free data migrations from legacy systems to cloud platforms.
Services

Data Engineering Services

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As a data engineering company, we ensure that you get the most relevant part of our expertise in data engineering. We have curated our services to serve specific needs like real-time decision-making, infrastructure scalability, data protection, data consistency, and more. Here are the services we offer:

Approach

Our Data Engineering Approach

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Step 1
Architecting scalable data pipelines for real-time data streaming.
Step 2
Ensuring seamless integration across diverse data sources, including cloud platforms, on-premises systems, and third-party applications.
Step 3
Applying data wrangling and cleansing processes to transform raw, unstructured data into actionable insights.
Step 4
Deploying cutting-edge DataOps methodologies and implementing stringent data governance policies with metadata management tools.
Step 5
Integrate machine learning frameworks such as TensorFlow, PyTorch, and more to enable predictive analytics and prescriptive modeling.
Client impact

Real-World Impact of Our Gen AI Solutions

Discuss Your Project Idea

AI-Powered Financial Document Parsing

Teleskop offers an AI-powered solution for secure asset aggregation. The solution helps customers plan their financial legacy by offering better financial clarity.

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Data Intelligence and Analytics Company

The client provides decision science and data management solutions that empower companies to identify the insights needed to make timely and accurate business decisions. It is based out of New York, US

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Integration Hub Platform Engineering for Supply Chain and Logistics

As the world's foremost value-added distributor in our sectors, the client expertly sources, consolidates, and delivers items through tailored solutions, ensuring unparalleled efficiency and value-added advantages.

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Why zymr

Why Choose Our Data Engineering Services

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We offer end-to-end data lifecycle management from data ingestion to advanced analytics and governance.
We help build robust, fault-tolerant pipelines that handle large-scale data with high throughput.
We safeguard your data with efficient security measures and automated compliance management for regulations like GDPR, HIPAA, and more.
We have a proven track record of helping businesses across industries with flexible, cost-efficient, and innovative data engineering.
Resources

Blogs

How is AI in DevOps Transforming Software Development

AI in Quality Assurance: How AI is Transforming Future of Quality Assurance

How Generative AI is Transforming Product Engineering?

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FAQ

FAQs

Can Zymr’s data engineering services help optimize my data warehouse?

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Yes, we help build data engineering solutions that ensure efficient optimization of your data warehouse for performance and scalability. We implement robust data pipelines that improve data flow efficiency and ensure that your data is accessible for business insights in real time.

What makes your data engineering services robust and scalable?

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Our approach integrates robust data engineering practices, focusing on building scalable data pipelines that can handle large volumes of data. We use modern data architecture, including cloud platforms and hybrid solutions, to ensure that your systems can grow with your needs.

Can your services support legacy systems alongside modern data architectures?

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Yes, we excel at bridging the gap between legacy systems and modern data solutions. Our expertise in data migration and integration ensures that legacy data is securely transferred to scalable cloud platforms without disruption. By implementing hybrid architectures, we provide flexibility and seamless access to data.

How do you ensure data integrity across large-scale systems?

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Data integrity is a top priority in all our services. We use advanced validation protocols, secure data migration strategies, and automated cleansing processes. Our aim is always to ensure that your data remains accurate, consistent, and compliant throughout its lifecycle.

How does modern data infrastructure benefit my business?

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Implementing modern data solutions allows you to make the most of your existing infrastructure while embracing cutting-edge technologies. We help design systems that optimize data storage, streamline data integration, and ensure real-time access to your data.

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Optimize Your Data Stack: Free 2-Week PoV

Jay Kumbhani
AVP of Software Engineering, Zymr

15+ years of expertise in data engineering, specializing in designing scalable data architectures and optimizing ETL workflows. Extensive experience in building high-performance data pipelines, managing big data processing, and ensuring data integrity across distributed systems.

Executive leadership
Technology expertise
Automation expertise
Test automation process
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