System Architecture Profile

Ojas Shukla

Senior Data Engineer / Cloud Architect

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Location Telemetry

Wollongong, NSW
Global Remote Availability

Infrastructure Matrix

SnowflakeApache AirflowdbtPySparkKafkaAWSGCPAzureDockerTableauGitHub Actions

Syntax

PythonSQLTerraformJavaScriptR

[ Execution Output: Executive Summary ]

My journey in data engineering spans over 6 years, working with diverse teams and technologies to build scalable data solutions. Proven leader in building robust Airflow-orchestrated ETL workflows, Snowflake architectures, and comprehensive data observability frameworks that eliminate QA cycles and accelerate enterprise business intelligence.

Senior Data Engineer

AUG 2025 — PRESENT

Kinesso

✓Lead development of Airflow-orchestrated ingestion and transformation workflows, automating report delivery for global campaigns.
✓Establish data quality monitoring frameworks using dbt tests and automated row-count checks, reducing QA cycles by 70%.
✓Optimize warehouse performance and cost through adaptive scaling, improving dashboard responsiveness by 65%.
✓Mentor junior engineers on dbt modularity, Git branching standards, and Snowflake optimization techniques.

Data Engineer – AI Infrastructure

JAN 2025 — AUG 2025

Stomble / Independent Projects

✓Delivered production-ready cross-cloud data pipelines supporting AI-driven semantic search and RAG architectures.
✓Designed dbt pipelines with Great Expectations-based testing and schema version control achieving 99.9% data accuracy.
✓Automated CI/CD deployments using Terraform, Docker, and GitHub Actions, reducing release time by 60%.

Data Engineer

FEB 2023 — JAN 2025

Aluminium Stewardship Initiative (ASI)

✓Built an end-to-end GCP data warehouse integrating multiple source systems into a unified repository.
✓Cut ETL runtime by 40% through Python and DuckDB optimization alongside modular dbt transformations.
✓Developed event-driven pipelines via Kafka and Pub/Sub for real-time data synchronization.

Data Engineer (Healthcare Analytics)

JUN 2022 — JAN 2023

University of Wollongong / Dementia Training

✓Automated clinical and financial data ingestion pipelines, reducing manual workload by 80%.
✓Integrated Cloud Functions and Airflow for hybrid scheduling and monitoring systems.

Data Specialist

FEB 2019 — DEC 2021

HERE Technologies

✓Developed and optimized large-scale ETL pipelines using Hadoop, AWS, and Spark.
✓Containerized processing jobs using Docker and Kubernetes, improving deployment efficiency.

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