Hello, I'm
Senior Data Engineer specializing in building scalable distributed pipelines, real-time streaming architectures, and modern cloud lakehouses. Expert in batch and real-time data integration engineered with complex enterprise business logic. Proven track record of designing high-performance data platforms that enable reliable analytics, operational efficiency, and data-driven decision-making.
Professional career trajectory, enterprise engineering roles, and academic foundations.
Senior Data Engineer Expert working on Realtime and Batch processing and Data Automation. Designing and scaling high-throughput enterprise pipelines, cloud application integration, and automated cloud workflows.
Engineered, deployed, and maintained enterprise ETL pipelines, Informatica PowerCenter workflows, high-performance SQL transformations, and robust Unix shell scripts for large-scale data environments.
Completed intensive data engineering training covering data integration architectures, relational database management, SQL optimization, and ETL pipeline design.
A selection of professional work, published apps, and experimental prototypes.
An interactive gaming and media streaming web portal featuring live game status, media integrations, community hubs, and high-performance frontend architecture.
An advanced mathematical discovery and numerical pattern recognition platform computing complex sequence analysis, algorithmic data exploration, and visualization models.
Breakdown of my skills and tools, categorized by domain and proficiency
Deep dives into enterprise data warehousing, streaming systems, lakehouse architectures, and cloud data integration.
A mathematically rigorous deep dive into the Hessian Matrix, multivariable Taylor expansions, eigenvalue spectrums, Newton-Raphson optimization, Quasi-Newton L-BFGS, and Fisher Information in modern Data Science and Machine Learning.
An in-depth architectural guide exploring relational normalization forms (1NF, 2NF, 3NF, BCNF) to eliminate modification anomalies, contrasted with analytical denormalization, dimensional star schemas, and modern lakehouse performance optimization.
A comprehensive deep dive into designing enterprise data warehouses and lakehouses: multi-tier medallion layers, change data capture (CDC), SCD Type 2 dimension versioning, and high-performance dimensional star schema modeling.
Feel free to reach out. I'm always open to discussing new projects, data engineering architectures, and collaboration opportunities.
github.com/rahuljishu/
GitHubwww.linkedin.com/in/rahuljishu/
LinkedInhello@rahuldas.in
Email MePreferred: Email or LinkedIn — I typically respond within 24 hours.