Stellarsoft helps organizations design, modernize, and operate reliable cloud data platforms — with hands-on expertise across AWS and Microsoft Azure, paired with hands-on consulting and Power BI-driven analytics to turn that data into decision-ready insight.
Design and implementation of production data platforms across AWS and other cloud environments, including ingestion, transformation, storage, orchestration, observability, and consumption layers.
Layered data platforms built with Amazon S3, Apache Iceberg, AWS Glue Data Catalog, Athena, Spark, and Databricks.
Batch and incremental pipelines for structured and semi-structured data, including complex business transformations and multi-source integration.
Migration of legacy databases, ETL processes and warehouse workloads into modern cloud architectures while preserving business logic, auditability and data integrity.
Change-data-capture and delta-processing patterns for systems that need efficient synchronization rather than repeated full data loads.
Controls for source-to-target completeness, duplicate detection, reconciliation, batch tracking, data-quality rules and operational troubleshooting.
Production workflows built with Apache Airflow and AWS MWAA, including dependency management, retries, parameterization and operational monitoring.
Investigation and remediation of failed pipelines, performance bottlenecks, Spark issues, data inconsistencies, duplicate processing and operational weaknesses.
Turning raw, governed data into decision-ready insight through Power BI dashboards, semantic models, and reporting layers built on top of reliable data platforms.
Architecture assessment, platform design, technology selection, migration planning and technical guidance for internal engineering teams.
Independent, vendor-neutral advisory on data architecture, platform strategy, and technology selection — delivered as standalone consulting engagements or embedded alongside your team.
Review an existing data environment, identify architectural and operational weaknesses, and provide a prioritized modernization roadmap.
Design and build a complete cloud data platform, from source ingestion through curated datasets and downstream consumption.
Migrate existing databases, ETL processes and business logic into scalable cloud-native data architectures.
Diagnose and resolve failures, performance problems, reconciliation issues and data-quality problems in an existing platform.
A small engineering team integrated into your delivery organization for ongoing development, migration and platform modernization.
Design and build Power BI dashboards and semantic models on top of an existing or newly built data platform.
Our engineering experience includes enterprise financial-services environments with multiple source systems, large relational data models, complex transformation rules and downstream integrations. Recent work includes:
Stellarsoft can work as an independent delivery team or alongside an existing engineering organization.
Defined deliverables, milestones and budget.
Flexible engineering capacity for evolving requirements.
Ongoing access to senior engineering and implementation capacity.
We are particularly well suited to organizations that: