Role
Senior Cybersecurity Data EngineerSenior Cybersecurity Data Engineer
Building high-trust data systems for security, scale, and decision-making.
I design enterprise data platforms, production-grade ELT pipelines, and analytics systems across financial, manufacturing, vulnerability, operational, and other complex business datasets.
Live Career Snapshot
2026
Current Focus
Cybersecurity data engineering at enterprise scale
Designing Snowflake data models, vulnerability pipelines, and governed data products for faster, more confident risk response.
Specialty
Secure Data PlatformsStrength
From Raw Data to Executive InsightApproach
Reliable, scalable, recruiter-ready impactWhat I Bring
Measured impact across finance, cloud, and data-heavy environments.
Data pipelines supported at scale in enterprise financial environments.
Increase in processing capability through scalable Palantir and Python-based engineering.
Client revenue lift enabled by stronger data models and better decision support.
Enterprise Security
Data engineering for vulnerability intelligence
I build pipelines and models that help organizations prioritize cybersecurity risk with cleaner data, faster queries, and more dependable governance.
Platform Delivery
Cloud and warehouse systems that hold up under pressure
My work spans Snowflake, BigQuery, Palantir Foundry, Oracle, Databricks-adjacent migrations, and automation-driven ELT design.
Business Alignment
Technical depth with stakeholder fluency
I translate business goals, security requirements, and reporting needs into systems leaders can trust and teams can actually use.
Career Timeline
From foundational data work to senior engineering ownership.
Bank of New York
Senior Cybersecurity Data Engineer
Designing Snowflake-powered vulnerability data models, governed ELT pipelines, and cybersecurity analytics workflows that improve prioritization, transparency, and remediation speed.
Fiserv
Senior Data Engineer
Delivered secure transaction data systems, interactive Foundry reporting, PySpark and SQL pipelines, ontology-backed workflows, and enterprise data migrations for financial operations.
LG Electronics (Infosys)
Data Engineer / Cloud Engineer
Built GCP-based data pipelines with Cloud Composer, Dataproc, BigQuery, and Airflow while supporting analytics, reporting, and data lake ingestion.
StarWeb LLC
Associate Data Engineer
Strengthened project delivery with reporting, documentation, query development, and data governance-aligned engineering support.
Technical Stack
Tools I use to move data from raw inputs to reliable business outcomes.
Platforms & Warehouses
- Snowflake
- BigQuery
- Palantir Foundry
- Oracle
- Postgres
- MySQL
- MongoDB
Languages & Compute
- Python
- SQL
- Java
- PySpark
- Apache Spark
- Hadoop
- Hive
Cloud & Analytics
- AWS
- Google Cloud Platform
- Cloud Composer
- Cloud Dataproc
- Tableau
- Power BI
- ELT / ETL Automation
Credentials
Built on formal training, strengthened by real production work.
Project Management Professional
Project Management Institute (PMI), 2025
Professional Scrum Master I & II
Scrum.org, 2025
Certified Apache Spark Associate
Infosys, 2021
B.S. in Information Technology
New Jersey Institute of Technology, Newark, NJ
Let's Connect
Looking for a data engineer who can deliver both technical depth and business clarity?
I'm always interested in connecting with people and teams working on data-related systems, cloud platforms, analytics, cybersecurity, business intelligence, consulting ideas, or meaningful freelance collaborations.
linkedin.com/in/tej-vyas