Transform raw data into strategic assets with robust, scalable, and secure data pipelines. Modus Soft is your long-term partner for building modern data ecosystems on the world's leading cloud and data technologies.
CLOUD WAREHOUSING
ETL\ELT
BIG DATA
Unlock the Power of Your Data
FOUNDATION FOR DATA DRIVEN SUCCESS
Our Data Engineering team specializes in designing, constructing, and managing the infrastructure that ensures high-quality data collection, storage, and processing.
Modus Soft provides senior data engineers and analytics engineers familiar with dbt, Snowflake, Databricks and Airflow to extend your data eng bandwidth
MODERN DATA STACK
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Experience the speed and flexibility of the Data Cloud. We help you migrate, implement, and optimize Snowflake to deliver near-unlimited elasticity and concurrency for your most demanding analytics workloads.
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Accelerate your data science and machine learning initiatives. Our experts deploy and optimize Databricks environments, specializing in Delta Lake implementation for reliable, high-quality data at massive scale.
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We architect high-performance, cost-optimized data lakes and modern data warehouses utilizing the full suite of AWS services, including Amazon S3, Redshift, Kinesis, and Glue. Achieve unmatched scale and resilience.
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Our solutions utilize Azure Data Factory, Azure Synapse Analytics, and Azure HDInsight to create seamless data integration and analytics environments. We focus on enterprise-grade security and governance within the Azure ecosystem.
OUR COLLABORATION MODELS
Your development needs will evolve, and we're here to evolve with them.
We can kick off with flexible Time & Material project work, then smoothly transition to building you a dedicated team of 3-15 pros. Our Staff Augmentation means you get the right talent, fast – usually in under two weeks from your hiring order, ensuring you're never short-handed
ADTECH DATA MARKETPLACE
Our client is a full-service media agency dedicated exclusively to pharmaceutical and healthcare brands. Recognised by Adweek and other rating agencies as the #1 DTC and HCP media planning and buying company.
We have developed and maintained automatic and semi-automatic jobs that get data from client files, advertising platforms APIs, and open sources, aggregate them, and store them in the database in the format required by the customer. Data is further used for analysis and reporting.
Client
NDA
Year
2014 and ongoing
Team Size
24 FTE
Tech Stack
MS SQL, MongoDB, Java, JSP, HTML, Backbone, Highcharts, Spring, JSP, jQuery, JavaScript, Hadoop, Matillion, Amazon S3, Amazon Redshift, Snowflake, Tableau
AI
{
Cloud: AWS | GCP | Azure
} --
React
\\
Node.js
--
Python
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AI { Cloud: AWS | GCP | Azure } -- React \\ Node.js -- Python --//
Architecture & Tool Selection
We assess your unique needs to select and configure the optimal integration tools. This includes implementing serverless solutions like AWS Glue or scalable big data processing using Databricks Spark engine and custom Python/Java scripting.
Migration and Integration
Our team manages complex data movement from legacy on-premises systems (e.g., Oracle, SQL Server) and disparate cloud sources into modern platforms like Azure Synapse or Snowflake, ensuring zero data loss and minimal downtime.
Performance & Optimization
We engineer ETL/ELT pipelines for speed and cost-efficiency, specializing in optimizing transformations within cloud data warehouses like Snowflake to leverage its power for faster insights.
Monitoring and Maintenance
Proactive Monitoring and Operational Support: We establish rigorous monitoring, alerting, and maintenance routines to ensure your data pipelines operate reliably 24/7, catching anomalies before they impact business intelligence.
Cloud-Native ETL/ELT
Building pipelines with tools like AWS Glue, Azure Data Factory, and Databricks for automated and scalable data transformation. We engineer ETL/ELT pipelines for speed and cost-efficiency, specializing in transformations within cloud data warehouses like Snowflake.
Private LLMs & Agent Integration
We securely connect your data assets to customizable, self-hosted LLM models and agents. We leverage specialized native tools like Azure AI Studio and AgentBricks for reliable, data-aware generative AI deployment.
Data Engineering FAQs
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Data Engineering is the discipline of creating and managing the infrastructure and tooling required to collect, transform, and store large volumes of data for analytical use. It encompasses everything from designing data architecture and setting up data warehouses (Snowflake, AWS Redshift) to developing ETL/ELT pipelines and ensuring data governance across platforms like Azure and AWS.
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Professional development ensures your data is accurate, timely, and consistent, regardless of the source. This leads to higher-quality business intelligence, reduced operational costs through optimized cloud usage (Databricks, AWS), and the ability to scale your analytics capabilities without sacrificing performance.
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We implement a layered approach that includes schema validation, automated data quality checks (DQ) during the transformation phase, anomaly detection, and comprehensive logging. We also utilize platform features, such as Delta Lake on Databricks, to enforce data reliability and transactionality.
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Project duration is highly dependent on complexity, data volume, and the number of source systems. A small, focused Snowflake migration might take 4–6 weeks, while a large-scale enterprise data platform build on AWS or Azure can take 3–6 months. We provide a detailed project roadmap and timeline after the initial assessment phase.
TESTIMONIALS
Tanuj Chatterjee
CEO Super Unlimited Inc |
ex CTO Rakuten
“For the past four-plus years, and in a previous company as well, Modus Soft has been a reliable and valuable partner. We've challenged them with complex projects, tight deadlines, and the demands of a global operation, and they have consistently delivered beyond expectations.
More than just a vendor, they feel like an extended part of our team, fully invested in our success.
To the entire Modus Soft team – your dedication and expertise are truly appreciated. Thank you for your continued partnership and for being an integral part of what we do.”
Karel Lahmy
CTO at Inspire Labs
“I have worked with Modus Soft for over 10 years and can confidently say they are an invaluable partner. Their professionalism, expertise, and dedication to high-quality results have consistently exceeded my expectations.
Modus Soft's team is skilled, responsive, and adaptable to changing requirements. Their commitment to innovation and continuous improvement has greatly contributed to our business success.
Communication is seamless, and their transparency and reliability have fostered a strong partnership. I highly recommend Modus Soft to any organization seeking a dependable outsourcing partner and look forward to continuing our collaboration.”
LET’S CHAT
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Ready to Modernize Your Data Landscape?
Connect with Modus Soft today to schedule a consultation. See how our expertise in AWS, Azure, Databricks, Snowflake, and sophisticated ETL processes can drive your business forward.