Modern Data Engineering, Real-Time ETL & Snowflake/BigQuery Analytics

Transforming Fragmented Data Silos into Actionable Intelligence

Enterprises generate petabytes of data across transactional databases, third-party SaaS apps, and user telemetry. Tech AKM designs robust, automated data engineering pipelines that clean, transform, and deliver accurate data to decision-makers in real time.

Modern Data Stack Implementations

• Real-Time Event Ingestion: Apache Kafka and AWS Kinesis streaming millions of events per second with schema registry enforcement.
• Data Warehousing & Lakehouse Architecture: Optimized data models in Snowflake, Google BigQuery, and Databricks with cost-controlled query partitioning.
• Declarative Transformations with dbt: Version-controlled SQL modeling, automated testing, and comprehensive data documentation.
• Sub-Second Analytical Queries: ClickHouse clusters providing instantaneous aggregations for public analytics portals and internal dashboards.

Complete Data Reliability

Automated anomaly checks (Great Expectations, Monte Carlo) detect pipeline drift and missing values before corrupted data reaches executive reports.