Data is only valuable when it's clean, connected, and accessible to the people who need it. TechVihaan designs and implements modern data platforms that break down silos, automate data quality, and deliver insights at the speed your business demands.
We build scalable data pipelines using Apache Spark, dbt, Apache Airflow, and Kafka — ingesting data from databases, APIs, SaaS platforms, IoT devices, and flat files into centralized lakehouses on Databricks, Snowflake, BigQuery, or Amazon Redshift. Our pipelines handle batch and real-time streaming workloads with built-in schema evolution, data lineage tracking, and automated quality checks.
Our analytics engineers transform raw data into curated, business-ready datasets using dbt's modular SQL approach and semantic layers that ensure every team across your organization is working from a single source of truth. We implement data governance frameworks with column-level access controls, PII masking, and audit trails to keep you compliant with GDPR, HIPAA, SOC 2, and industry-specific regulations.
On the visualization side, we build executive dashboards and self-service analytics environments using Tableau, Power BI, Looker, and Apache Superset — designed with storytelling principles that make complex data intuitive for non-technical stakeholders.
Whether you're migrating from a legacy data warehouse, building your first analytics stack, or scaling an existing platform to handle petabytes, our data engineers bring the architecture expertise and hands-on implementation skills to get you there.