Migration and Cloud experience:
- Migrated on-prem servers to Azure Cloud services.
- Incorporated cloud architecture into new facility planning, reducing need for on-site equipment and technical support personnel.
- Migrated numerous legacy systems to newer technologies, reducing costs and enhancing efficiency of computing tasks.
- Supported DataBricks projects
Data Science:
- Developed Python notebooks for database metrics analysis
- Developed processes to identify parameter sniffing using statistical methods like Z-Scores and Interquartile range (IQR) to proactively solve production slowness by 15%
- Identified application grouping for migration using K-Means clustering based on CPU, Disk IO usage.
Data Architecture:
- Demonstrated leadership skills in managing projects from concept to completion.
- Helped coordinate full system life cycle from requirements to design and implementation.
- Designed data models for complex analysis needs.
- Developed database architectural strategies at modeling, design, and implementation stages to address business or industry requirements.
- Gathered, defined and refined requirements, led project design and oversaw implementation.
- Generated customized architecture specifically optimized for several database technologies.
- Collaborated with system architects, design analysts and others to understand business and industry requirements.
- Unified disparate data structures and operating environments during revamps of processing facilities, data centers and more.
- Identified and automated business processes to increase productivity of business analysts by 10 times
- Created Partition solutions for large tables, including customized lookup sharding strategy
- Proposed and developed database archiving project using C#, which was less invasive and archived more orders per hour by 40%
- Redesigned Order Search component and increased its speed by 3 times and reduced hardware cost by over 50%
- Collaborated with cross functional teams like Release Management, Certification team, Business Intelligence team and development team making recommendations which improved overall efficiency by 75% (Deployment tool, SQL Traceloader, CRUD generator, etc).
- Developed documentation for database development practice and implemented practice across multiple app development team
Data governance and security:
- Conducted impact and risk assessment on data management project, identifying security model risks, SQL injection risks and sensitive data exposure risks.
- Managed identification, protection and use of sensitive data..
SQL Optimization:
- Optimized SQL procedures to improve them by over 99.8%, which saved hardware capacity by 40%
- Developed processes to identify parameter sniffing using statistical methods like Z-Scores and Interquartile range (IQR) to proactively solve production slowness by 15%
- Analyzed SQL trace data, XEvent Data, DMV info and SQL query plans to identify slow queries and bottlenecks, and optimized them by adding/modifying indexes, rewriting queries and changing tables design.
Data warehouse and Business Intelligence:
- Developed and deployed ETL processes using SSIS.
- Developed ETL processes using C# tool for better parallelism and overcome SSIS limitations.
- Designed DW databases using star and snowflake schema.
- Built SSAS cubes and built dashboard with KPIs out of them.
- Developed and deployed SSRS reports (RDLs).
- Managed permissions in SSRS.
Production support:
- Monitored production systems using SQL SENTRY, Perfmon, SQL Profiler, XEvent Profiler etc.
- Managed SQL Instances on-prem and Azure (IAAS, PAAS).
- Created and maintained SQL Inventory to increase DBA productivity by 80%.
- Handled Capacity Management and proactively addressed capacity issues.
- Created centralized system for database maintenance activities like reindexing, fragmentation calculation and storage, which helped reduce DBAs work by over 75%.
- Setup and maintained Transaction Replication for VLDBs using multiple publications which reduced replication downtime by 8 to 10 times.
- Strategized backup and recovery projects.
- Supported Disaster Recovery projects.
- Setup Always On, TLog shipping and database mirroring for farm of SQL databases.
- Converted int to bigint datatypes on many large tables efficiently to successfully keep up growth of data.
- Resolved problems, improved operations and provided exceptional service.
Automation and Programming:
- Created C# tools to automate database maintenance activities for orchestration and parallelism.
- Designed internal process improvements to automate repetitive tasks, shortening data delivery times.
- Developed SQL Trace loading process using C# and that reduced load time and production performance analysis by over 24 hours.
- Developed C# tools for loading XEvent profile data.
- Developed CRUD generator using C#, which was proposed and implemented for multiple application team to standardize database development practice.
Leadership and Management:
- Automated database deployment process by proposing C# tool, managed offshore team to get it developed and deployed.
- Coordinated and supported Offshore database team.
- Lead database team.