Data Engineering
The Engine Room of Modern Data-Driven Enterprises
Embark on the journey of digital transformation with data engineering rooted in excellence
Easing the way to data Engineering
We specialize in building modern, enterprise-grade data architectures—engineered for scale, speed, and reliability.
Seamless Data Integration at SmiloData
we specialize in unifying data from diverse sources to create a single, reliable view. Using robust techniques like ETL (Extract, Transform, Load), automated data pipelines, and scalable data lakes, we ensure seamless access to clean, consistent, and timely data. This empowers organizations to make data-driven decisions with confidence, boosting operational efficiency and accuracy across all functions.
Big Data, Bigger Possibilities
Today’s data doesn’t come in small packages. As data volumes grow exponentially, we build systems designed to handle complexity at scale. Leveraging modern cloud- native technologies and distributed computing, we don’t just store big data—we make it usable. From real-time analytics to deep insights, our solutions turn massive datasets into actionable intelligence that drives smarter business decisions.
Cloud Solutions Built to Scale
In a world where data never stops growing, cloud platforms like Microsoft Azure give us the power to stay ahead. Our cloud-based solutions offer scalable storage, high- performance computing, and the flexibility to adapt as needs evolve. Whether it’s handling massive data workloads or enabling seamless collaboration, the cloud is how we move faster, smarter, and more efficiently.
Unlocking Business Potential
with Data-Driven Solutions
SmiloData helps enterprises boost efficiency and productivity through well-managed data engineering and data science initiatives that align with business goals. Partnering with Fortune 500 companies, we create and implement data-driven frameworks that optimize technology, processes, and organizational changes. Our data consultants offer the right strategies and tools to enhance or develop data frameworks that support both short- and long-term business objectives.
Listen to The CPG Guys podcast as they interview Sigmoid’s CTO, Mayur Rustagi, and Mondelēz’s SVP of Supply Chain – Strategy and Transformation, Frank Cervi on what makes for a successful data management strategy for CPG companies.
Leading a data strategy that drives
innovation across the enterprise
Cloud-Native Data Platform Architecture
Lay the foundation for a scalable, high-performance data ecosystem by adopting cloud-first technologies and modular design patterns.
Real-Time and Batch Data Pipelines
Support operational excellence by enabling both real-time and scheduled data processing capabilities within a unified architecture.
Enterprise Data Integration
Create a connected data ecosystem by bringing together siloed systems, streamlining data movement, and ensuring consistent data availability.
Why Choose SmiloData
Build Scalable Data Pipelines
Design and automate pipelines that streamline data ingestion, transformation, and delivery across diverse platforms.
Enable Real-time & Batch Processing
Support hybrid workloads with real-time streaming and traditional batch processing for maximum flexibility.
Optimize for Performance & Cost
Implement cloud-native architectures to improve performance, reduce latency, and control infrastructure costs.
Explore our other data and analytics offerings
Develop Data Maturity &
Strategy Framework for
Analytics Success
Customer Success Stories
Cloud-Native Pipeline Overhaul for FinTech
A fast-growing FinTech firm boosted data throughput 5x by transitioning from legacy batch jobs to Azure-native pipelines, reducing latency and enabling near real-time dashboards.
Real-Time Healthcare Data Integration
We built a streaming architecture for a hospital network to integrate patient data across facilities, reducing reporting lag by 70% and supporting faster clinical decisions.
Retail Data Lakehouse Transformation
We unified siloed systems for a national retailer into a centralized lakehouse using Delta Lake on Databricks, enabling faster analytics and cleaner reporting.
FAQ’s
