Data Management

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)

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)

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)

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.

Marketing Data Collector (BABR)

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.

Data Assessment & Profiling
We assess your existing data architecture, sources, formats, and flows to uncover inefficiencies, redundancies, and governance gaps.
Cleansing & Standardization
Our team develops a centralized data model, defines hierarchies, access levels, and master records to ensure seamless integration and usage.
Monitoring & Governance
We set up your systems, pipelines, and policies using scalable, cloud-ready technologies that support real-time access and cross-platform consistency.

Technologies We Use for Data Solutions

Programming Languages

Node js

Node Js

Paython

Python

JavaScript

Data Orchestration

Apache Airflow

Azure Data Factory

Databricks

Dagster

RESTful Services

Postman

Rest

SOAP

Requests

Databases

MySQL

MySQL

SQL Server

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

Programming Language
Node js

Node Js

Paython

Python

JavaScript

Databases
MySQL

MySQL

SQL Server

SQL Server

PostgreSQL

MongoDB

Data Warehouses

Snowflake

BigQuery

Redshift

Data Orchestration

Apache Airflow

Azure Data Factory

Databricks

Dagster

Data Transformation

AWS Glue

Talend

Apache Kafka

DBT

Data Visualization

PowerBI

Tableau

Looker Studio

Cloud Platforms

AWS

Azure

GCP

Heroku

Containerization

Docker

Kubernetes

RESTful Services

Postman

Rest

SOAP

Requests

Security

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.

First List logo

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.

First List logo

Success Stories

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Technology Stack

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