SAP Sybase ASE Summary: Have worked in Sybase ASE Installation, Upgrade, Migrate ESD/EBF patches Applied. Have worked in Sybase Performance Tuning and Database Administrator Part. Have worked in MDA Table and Veritas Custer. Have worked in Sybase Shell Script and worked on Proxy table. Have worked in Sybase Troubleshoot for Prod support system during (24/7 and ON call Support). Have worked in Database Administrator Job (DBCC, Reorg, Update Stat, Optdiag, Proxy connection, Backup/Recovery, Database Capacity Planning) Have worked on Sybase Replication Server install/configure/troubleshoot. Have worked in Sybase Replication Table -level/MSA -setup/WS-Setup. Have exposure in AutoSys/crontab/shell scripting. Have worked in Sybase central/dboptimiser/db artisian/dsedit/autosys jil. Have worked in ticket tools on BMC-remedy/ DB-service now/ Service Now/ Nimsoft/ Autosys Follow change control management and incident process within defined SLAs. Maintain good working relationships with internal stakeholders (Business Applications user, Storage Application, Information Security Teams) Azure Data Engineer End-to-end data pipelines were designed and executed using Azure Data Factory, optimizing data extraction, transformation, and loading from multiple sources into Azure Data Lake Storage, resulting in a 40% reduction in data ingestion time. Used Databricks for data processing and analysis, improving query performance and data quality, resulting in a 25% increase in data processing efficiency. Collaboration with cross-functional teams to gather requirements resulted in a 15% increase in data solution alignment with stakeholder goals. Created and maintained data workflows while monitoring and troubleshooting pipeline issues to ensure consistent data delivery and a 99.5% data pipeline uptime. Improved data dependability by including error handling mechanisms and data validation algorithms into pipelines, which resulted in a 98% reduction in data mistakes. By optimizing and tweaking Databricks clusters for resource usage, we were able to reduce data processing time by 30%, resulting in faster insights for stakeholders. Automated manual tasks by automating data transfer processes to save time and improved the quality and validity of data imported to ERP by 90%. Migrated Banking data from prem Databases like Sybase MS SQL server to Data Lake. Collaborated with cross-functional teams to collect reporting requirements, resulting in a 15% increase in data solution accuracy. Created and maintained interactive Power BI dashboards and reports, offering actionable information that resulted in a 10% increase in decision-making efficiency among stakeholders. Created pixel-perfect reports with SQL Server Reporting Services (SSRS) and Power Bi Report Builder, improving data visualization and reducing report interpretation time by 20%. Used advanced Excel functions to analyze and manipulate huge datasets (VLOOKUP, PivotTables, etc.), resulting in a 25% reduction in data processing time for reporting. Performed data validation and quality checks that increased report accuracy by 18%, providing stakeholders with accurate information for decision-making. Worked with business users to identify key performance indicators (KPIs) and create executive-level reports to measure them, resulting in a 12% increase in KPI monitoring and alignment with business goals. Participated in data cleansing activities, detecting, and correcting errors in source data, resulting in a 15% improvement in data correctness and report reliability. Disseminated findings and insights to non-technical stakeholders, improving understanding and supporting improved decision-making, as indicated by a 20% decrease in data misinterpretation. Assisting in the training of team members on Excel methodologies and best practices for data analysis, which resulted in a 30% improvement in the team's data handling proficiency.