Shivshankar Ravi
I am an experienced data engineer and software engineer with a background in developing scalable data architectures, ETL/ELT pipelines, and automation solutions.
About
I am an experienced data engineer and software engineer with a background in developing scalable data architectures, ETL/ELT pipelines, and automation solutions. I have expertise in tools like Go, Python, Kafka, DBT, Dagster, Tableau, and cloud services such as AWS and Snowflake. Throughout my career, I have collaborated with cross-functional teams to design innovative data workflows, optimize processes, and deliver impactful business intelligence insights.
I am passionate about exploring new technologies in data engineering and analytics, continuously improving system performance, and sharing knowledge with peers. My background combines strong technical skills with an agile mindset, enabling me to work effectively with stakeholders and deliver high-quality results in fast-paced environments.
- 3 years' experience
- Joined August 2025
Industry experience
- Software & Internet
- Financial Services
- Professional Services
More experts in Berlin, Germany
Work experience· 4 roles
Developed an automated MicroStrategy subscription management system in Go for legacy reporting workflows, achieving 81% unit test coverage.
Collaborated with external stakeholders in Agile sprints to deliver iterative improvements and ensure project milestones were met efficiently. Built and maintained ETL pipelines with DBT, Dagster, and Tableau across multiple data layers. Developed a Python script to automate cleanup of temporary tables in Postgres via Dagster orchestration, saving 10 GB of storage monthly. Utilized Kafka for reliable data streaming to optimize marketplace data flows. Conducted in-depth evaluation and integration of data catalog tools as part of a master's thesis for enhanced data quality and discovery.
Collaborated with cross-functional teams to analyze client requirements, design scalable data architecture, efficient data warehouse modeling, and streamlined ETL/ELT pipelines. Automated resource monitoring in Snowflake enabling real-time credit tracking and cost/performance optimization. Developed cost monitoring solutions to optimize client data infrastructure spending. Conducted technical sharing sessions for junior engineers. Leveraged AWS-based alerting systems to improve proactive monitoring and minimize downtime. Implemented proof of concept with Debezium, MSK Kafka, and PostgreSQL. Used DBT for Change Data Capture to ensure accurate updates in Enterprise Data Warehouse and created 20+ dynamic Tableau dashboards for business insights.
Education
Certifications and awards
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