Data Engineering

Efficient. Secure. Scalable.

At Spintech Solutions, we are passionate about unlocking the power of data. We work across diverse sectors, delivering innovative data platforms that drive business value.

We consider ourselves technology agnostic but well exposed to most of engineering tools and practices.

Cloud Solutions

We leverage the strengths of leading cloud providers like Azure, AWS, and GCP to build scalable, secure and cost-effective data architectures.

Key Engineering Services

Some of our key engineering Services includes Data Modelling, Data Pipelines, Data integration, Data Lakes:

Data Pipeline and orchestration: AWS Glue, Airflow, Fivetran, Dagster etc
Data modelling: DBT, Pentaho, Coalesce etc
Data warehousing: Snowflake, Redshift, RDS, MongoDB etc
Data lake: AWS S3, Azure Data lake, GCS etc.

Modern Technologies

We utilize cutting-edge technologies, including:

Programming Languages: Python, Scala, Golang, SQL, Spark, SAS.
Big Data Tools and stream technology: Spark, Hadoop, Kafka

Our Approach

Cost-Effectiveness: We prioritise cost optimisation through careful design and implementation, leveraging cloud-native services and optimising data storage and processing costs.
Data Governance and Security: We follow a robust approach to data governance and data access security, prioritising risk-based framework and a strong consideration for compliance like GDPR, CCPA, HIPAA.
Agile Development: We embrace agile methodologies, including test-driven development (TDD) and continuous integration/continuous delivery (CI/CD), to ensure rapid delivery and high-quality solutions.
Data-Driven Decisions: We help you transform data into modelled layers to effectively produce actionable insights that drive informed business decisions and fuel innovations.