Data Management Services
We build robust, scalable data management systems that ensure accuracy, accessibility, and control, across all your platforms, teams, and workflows.
We design and implement enterprise-grade data management architectures that centralize your data, standardize your pipelines, and enforce access, quality, and governance rules across the board. Whether you’re managing data at scale, across geographies, or in hybrid cloud environments, we help you stay in control of your data.
Success Stories
From streamlining fragmented data silos to enabling company-wide analytics with centralized data lakes, we’ve helped fast-growing startups and global organizations gain control over their data, reduce inefficiencies, and make smarter decisions quickly.
Amazon Vendor Central Project
Our smart security clients (August Home and Yale Security) are huge vendors on Amazon and needed a way to get useful insights for their traffic, sales, inventory, and sales forecasting data. The reports had to be generated on a daily basis and according to their specific criteria.
Instagram-Facebook API Integration (Freestak.com)
Freestak, a marketplace for endurance influencers, wanted to integrate key insights coming from marketing campaigns with their associated influencers. Freestak required obtaining post data and engagement metrics of posts, stories and reels of Instagram influencers.
Food Ordering Scraper (Loop)
Our client needed merchant-side data of orders coming to restaurants through 3 major ordering companies (DoorDash, Uber Eats, and Grubhub). We were required to implement a smart algorithm to retrieve such a huge volume of information and prevent blocking, duplication, and other problems.
High Growth Startup Finder (Redpoint Ventures)
As a Venture Capitalist, our client found it very tiring and expensive to find startup leads that they can investigate further for potential funding rounds. We were required to come up with a smart algorithm to find startups which can possibly be the next best investment for our client.
Automated Newsletter Emails
We fetched the users’ data from an API and checked all the subscriptions of every user to create a filtered list. Once we had the list, we created a templated transactional email which was then used to send relevant newsletters to all the subscribers.
Industries We Have Served
We tailor our data management strategies to the needs of each industry, ensuring secure, well-structured, and compliant data ecosystems that support business growth and innovation.
Healthcare Data Integrity
We manage and integrate patient, provider, and clinical data across systems—supporting data security, interoperability, and HIPAA/GDPR compliance.
Financial Compliance Assurance
We build unified and auditable financial data structures that improve transparency, reduce reconciliation effort, and ensure regulatory readiness.
Retail Customer Insights
We manage product, inventory, and customer data to enable personalization, demand forecasting, and real-time business intelligence.
Manufacturing Process Accuracy
We standardize and structure machine, production, and supply chain data to reduce downtime, improve traceability, and boost efficiency.
Logistics Data Consistency
We create integrated platforms for shipment, inventory, and tracking data that enable seamless operations and real-time logistics coordination.
Development Process
We follow a strategic, multi-stage approach to design data environments that are clean, governed, and future-ready.
Technologies We Use for Data Solutions
Programming Languages
Node Js
Python
JavaScript
Data Orchestration
Apache Airflow
Azure Data Factory
Databricks
Dagster
RESTful Services
Postman
Rest
SOAP
Requests
Databases
MySQL
SQL Server
PostgreSQL
MongoDB
DynamoDB
SQLite
Redis
Firebase
Data Warehouses
Snowflake
BigQuery
Redshift
Data Visualization
PowerBI
Tableau
Looker Studio
Cloud Platforms
AWS
Azure
GCP
Heroku
Data Transformation
AWS Glue
Talend
Apache Kafka
DBT
Security
OAuth
SSL/TLS
Containerization
Docker
Kubernetes
Node Js
Python
JavaScript
MySQL
SQL Server
PostgreSQL
MongoDB
Snowflake
BigQuery
Redshift
Apache Airflow
Azure Data Factory
Databricks
Dagster
AWS Glue
Talend
Apache Kafka
DBT
PowerBI
Tableau
Looker Studio
AWS
Azure
GCP
Heroku
Docker
Kubernetes
Postman
Rest
SOAP
Requests
OAuth
SSL/TLS
Our Clients
We work with enterprises and innovators across fintech, healthcare, logistics, retail, SaaS, and manufacturing, helping them transform scattered data into a single, actionable asset. Whether you’re building a new platform or modernizing an existing one, we bring clarity, control, and confidence to your data strategy.
Our Clients
From eCommerce brands and logistics providers to fintech startups and data-first SaaS platforms, we help companies around the world make smarter, faster, and more informed decisions through reliable data infrastructure.