Munish Sharma

Background

About Munish Sharma

Experienced IT leader with a passion for turning Data into Information, regardless of the technology at hand. Proven ability to bridge the inevitable gap between Business and IT. Hands on experience across the SDLC as an Analyst and Programmer, including testing and supporting Enterprise business platforms. Significant experience evaluating, hiring and mentoring IT talent, resulting in efficient and productive teams, regardless of geographic location. Ability to manage large scale infrastructure and development projects that improve system capabilities while limiting system downtime. Excellent collaboration and communication skills as required when providing support at the enterprise level. Experience in Strategic Planning and producing Roadmaps within constraints of available resources. SKILLS SUMMARY Data Engineering : Azure Data Lake, Azure Data Factory, Event hub, Dremio Data Streaming : Kafka and KSQLDB, Azure Event Hub, Azure Stream Analytics Cloud : Azure, OCI Data warehousing : Azure Synapse Analytics, Hadoop, Teradata, Oracle Fusion Analytics Warehouse Data cleansing tool : Trillium, Oracle EDQ Visualization/Reporting : Tableau, Power BI, SAP Lumira, SAP Business Objects ETL : ADF, Teradata tools, Informatica, Debezium OLTP : Oracle, MySQL, MS SQL Server Design Methodologies : Dimensional Modeling, SCRUM O/S : Linux, Windows Languages : Python, C, C++, PL/SQL, VB Development tool : Git, Github, Visual Studio Code Profile summary- 20+ years of experience in Data Engineering and Business Intelligence- Migration of 200 TB on-premise Enterprise Data Warehouse to Teradata Vantage (cloud)- Setting up new Azure environment as part of the organization split- Implementing real-time data integration framework, leveraging Debezium and Apache Kafka to enhance analytics along with real time system monitoring- Sound knowledge of database designing, DW solutions and functional areas with leadership quality- Performance tuning and optimizing the SQL and business applications, and its effect on database design- Experience in all phases of software development life cycle: Requirement Analysis, Design, Development, Testing, Implementation and support- Used dimensional modeling technique to design and implement various warehouse solutions for business- Self-motivated starter and a quick learner with leadership and interpersonal skills- Good team player with ability to interact with the end user