Data Engineer with experience in SQL, ETL workflows, Azure Synapse Analytics, Hadoop, Hive, Power BI, and AWS. Holds a Master of Science in Data Analytics Engineering from Northeastern University and a Bachelor of Techno…
Data Engineer with experience in SQL, ETL workflows, Azure Synapse Analytics, Hadoop, Hive, Power BI, and AWS. Holds a Master of Science in Data Analytics Engineering from Northeastern University and a Bachelor of Technology in Computer Science Engineering from Amity University Mumbai.
Worked on SQL Pool database
Developed ETL workflow using Azure Synapse Analysis
Connected Data Lake Storage from pipelines
Performed advanced analysis using Power BI
Helped client with fast decision making and data governance
Managed multiple data and loaded them into Hadoop cluster
Used MapReduce to process data
Used Hive to store data in data warehouse for the client
Configured data model to support analysis
Helped a client increase productivity by 20%
Accomplished data management and data collection
Maintained trackers such as issues, risks, change requests, KPI measures, and metrics improvement with clients
Led root cause analysis discussion and problem-solving
Handled project management and consultation
Fulfilled sales, CRM, production, supply chain, quality, and financial modules of the ERP on an AWS server
Created customer-specific customization and validation
Increased productivity by 20%
Optimized 100+ MySQL stored procedures and views integrated with dashboards and SSRS reports
Increased reporting by 30%
Analyzed whole business process
Gathered requirements
Performed quality assurance
Performed system integration
Performed user acceptance testing
Facilitated on-time, on-budget, and acclaimed go-live of ERP software for 3 companies
Trained a group of 20% professionals functionally
Supported finance and audit teams in the analysis of captured data
Worked on SQL Pool database; developed ETL workflow using Azure Synapse Analysis, connected Data Lake Storage from pipelines, and performed advanced analysis using Power BI helped client with fast decision making and data governance
Managed multiple data and loaded them into Hadoop cluster; MapReduce to process data and Hive to store in data warehouse for the client; configured data model to support analysis, helped a client increase productivity by 20%
Accomplished data management, and data collection, maintained trackers(logs) such as issues, risks, change requests, KPI measures, and metrics improvement with clients, led root cause analysis discussion and problem-solving, project management, and consultation
Fulfilled sales, CRM, production, supply chain, quality, and financial modules of the ERP on an AWS server, along with creating customer-specific customization and validation, increasing productivity by 20%
Optimized 100+ MYSQL stored procedures, and views integrated with dashboards and SSRS reports increased reporting by 30%
Analyzed whole business process, gathered requirements, quality assurance, system integration, and user acceptance testing facilitating on-Trained a group of 20% professionals functionally and supported finance and audit teams in the analysis of captured data time, on-budget, and acclaimed go-live of ERP software for 3 companies
• Worked on SQL Pool database; developed ETL workflow using Azure Synapse Analysis, connected Data Lake Storage from pipelines, and performed advanced analysis using Power BI helped client with fast decision making and data governance
• Managed multiple data and loaded them into Hadoop cluster; MapReduce to process data and Hive to store in data warehouse for the client; configured data model to support analysis, helped a client increase productivity by 20%
• Accomplished data management, and data collection, maintained trackers(logs) such as issues, risks, change requests, KPI measures, and metrics improvement with clients, led root cause analysis discussion and problem-solving, project management, and consultation
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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