Bluespark Solutions designs and delivers production-grade data platforms on Microsoft Fabric, Azure, and Databricks. From raw ingestion to governed analytics, every pipeline we build is automated, auditable, and built to last.
Bluespark Solutions is a data engineering consultancy founded by Sriram Murali, specialising in modern cloud data platforms. We design and build the infrastructure that turns raw, messy data into governed, analytics-ready systems.
Our work spans the full data lifecycle: ingestion architecture, transformation pipelines, data quality engineering, semantic modelling, and executive-facing dashboards. We work on Microsoft Fabric, Azure, and Databricks, applying industry-standard patterns like Medallion Architecture and Delta Lake wherever reliability and scale are non-negotiable.
We build with the rigour of a production engineering team. Every pipeline is version-controlled, every data quality failure is traced, and every platform is documented for the engineers who maintain it after we leave.
These are not prototypes or demos. Each project below was designed, built, version-controlled, and documented to enterprise standards. The kind of platform you hand off to a team and it keeps running.
"Our pipeline runs fine until it doesn't. When it breaks, we spend days figuring out which records were lost and why."
We built a complete end-to-end analytics platform on Microsoft Fabric that automates the journey from raw CSV files to a governed Power BI dashboard. The Silver layer uses a Dead Letter Queue pattern: instead of silently dropping invalid records, every failure is quarantined with full error metadata and remains reprocessable without touching the main pipeline. Three PySpark notebooks chain into a single Data Factory Pipeline, scheduled with zero manual intervention. Workspace lineage is tracked across all 42 artifacts.
"We can't trust our loss reports. Manual reconciliation happens every cycle before anyone will sign them off."
Built for a client in a regulated environment, this ETL platform processes millions of financial loss records daily using Databricks and Spark SQL. The Silver Validated layer enforces strict quality gates: every record carries a validation status, rejection code, confidence score, and hash-based row ID for complete traceability. An average of 5 to 8 percent of daily records are flagged and reported, giving business and compliance teams full visibility into upstream data quality rather than discovering problems at reporting time.
"We have sensors everywhere but our indoor and outdoor datasets live in different systems. We can't see the full picture."
An Azure-native platform that unifies IoT sensor data from 120 to 180 building sensors with live external weather feeds, two streams that were previously analysed in isolation. The Gold layer joins them on aligned timestamps, computing temperature and humidity deltas for operational reporting. Azure Logic Apps delivers near real-time anomaly alerts to facilities teams when HVAC conditions breach defined thresholds, enabling intervention before occupant comfort is affected.
A production-style streaming pipeline using Apache Spark Structured Streaming and Delta Lake on Databricks. Processes continuously arriving order events through Bronze, Silver, and Gold layers. Invalid records are routed to a quarantine table. The Gold layer produces RFM segmentation, revenue aggregations, and return rate KPIs ready for BI consumption.
A batch data warehouse built with Spark SQL and Delta Lake, featuring SCD Type 2 customer tracking, star schema design, and full audit fields on every layer. Every SQL script is atomic and modular, written for Airflow and dbt compatibility. The validated Gold layer serves KPIs for monthly revenue, top customers, and brand performance.
Whether you are starting from scratch or untangling an existing pipeline, Bluespark Solutions brings the engineering depth to get it right.