Skill set (33)
Ravi in a few words
With 10 years of experience in data engineering and analysis, I excel in setting up robust data infrastructures and creating comprehensive reporting platforms. My expertise transforms raw data into actionable insights that drive strategic business decisions. Throughout my career, I have assisted numerous clients in solving complex business problems with tailored data solutions.
Key Skills:
- Data Infrastructure Setup**: Designing and implementing scalable architectures for efficient data flow and storage.
- Reporting Platforms**: Developing dynamic dashboards and reports using Tableau and Power BI for effective data visualization.
- Data Analysis and Insights**: Conducting in-depth data analysis to uncover trends, patterns, and insights for informed decision-making.
Certifications:
- AWS Data Engineering**: Proficient in using AWS services for data storage, processing, and analytics.
- Scrum Master**: Ensuring efficient project delivery through agile methodologies.
- Tableau and Power BI**: Certified in both platforms, creating compelling visualizations and interactive dashboards.
Notable Projects:
- **Enterprise Data Warehouse Implementation**: Designed and deployed a data warehouse for a multinational corporation, enhancing data accessibility and reporting.
- **Customer Insights Dashboard**: Developed a dashboard for a retail client, integrating sales, customer, and market data, boosting marketing effectiveness by 20%.
- **Real-time Data Processing Pipeline**: Engineered a pipeline using AWS services for a fintech startup, improving fraud detection and reducing response times.
Experience
- Unzer GMBHLead Data EgnineerDIGITAL & ITNovember 2023 - May 2024 (6 months)Berlin, Germany● Reduceddataprocessing meby30%byimplemen ngincrementalloading, opmizing Workload Management (WLM), and adding sort and distribu on keys in Amazon Redshi . This improvement led to faster query performance for the Data Analy cs team, enabling them to generate insights more quickly. ● Managedcri calAirflowpipelines, ensuring opera onal reliability. Applied data quality checks with Datadog to monitor pipeline health, providing real-me updates on failures so the business could react promptly to mi gate risks. ● Improvednearreal-meBatchprocessing by integra ng Amazon SQS, SNS, and Ka a connectors, allowing the Risk team to analyze live transac ons for compliance, which enhanced their ability to iden fy and respond to poten al issues swi ly.
Recommendations
Certifications
- Scrum MasterScrum2021