Manish Shekhar

Principal for Data & Ai Product Strategy & Governance @Censia Ai

Phoenix, AZ, US
EMAILS
m•••••••@censia.com
MOBILE NUMBERS
+19•••••••75

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WORK HISTORY

Feb 2025 — Present

Principal for Data & Ai Product Strategy & Governance @Censia Ai

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EDUCATION

2002 — 2006

Jabalpur Engineering College, Jabalpur (M.P.), India

Bachelor of Engineering, Information Technology

2002 — 2006

Rajiv Gandhi Prodyogiki Vishwavidyalaya

B.E., Computer Science & Information Technology

2020 — 2022

Bellevue University

Master of Science - MS, Data Science

SKILLS

Data AnalysisErwinAb InitioExtract, Transform, Load (Etl)UnixData ModelingDynamic LookupsData MigrationEtlData QualityData WarehousingAbinitioMaster Data ManagementHadoop Framework & ArchitectureDatabasesTableauTeradataSqlShell ScriptingData MappingNetezzaHiveqlXmlContinuous FlowSdlcApache PigOracleData MiningRequirements AnalysisData MovementData TransformationData VaultTestingData VisualizationIbm Db2Netezza Sql, Load, Unload UtilitiesBusiness IntelligenceAgile MethodologiesRequirements GatheringIcff

ABOUT MANISH SHEKHAR

I possess nearly two decades of experience in data management, analytics, & data governance.My areas of expertise encompass :1. Building data strategies, tools, & technologies for data platform improvements.2. Establishing data governance & data management best practices & standards.3. Managing build & maintenance of data management pipelines for data collection, integration,application of business rules, & reporting considering data security and foundational need.4. Ensuring data product goals & cross functional needs alignment with business priorities.5. Proficiency in utilizing data to inform product decisions and optimize user engagement.6. Consistently improving business OKRs by building effective products & features.7. Work as a liaison between business, product, data engineering, BI, and external vendors/teams.8. Hiring, training, motivating individuals to build high performing data teams.Tech Expertise:+ Data management, integration, governance, ETL/ELT, business intelligence and reporting.+ Data modeling - relational, dimensions & facts+ Comprehensive data frameworks i.e. Snowflake, Databricks+ Data science and advanced ML data integrations hands on experience+ Expertise building data governance frameworks specially data quality, lineage, & catalog with Collibra, OpenMetadata etc+ Experience managing data solutions in cloud data stores i.e. GCP+ System & solution design+ SQL expert, PL-SQL+ Data Visualization, Tableau 9, 10.1, 10.5+ RDBMS - Teradata, Oracle, Db2, Netezza, Postgres+ Hadoop, Big Data, Hive, Pig, Scoop+ R for Data Science - Vectors, Matrices, Data Frames, qplot, ggplot+ Python (Basics, Pandas, Numpy, Scikitlearn, Nltk)+ Machine Learning - Prediction, Classification, Clustering, Decision making, & Causal Inference+ Natural Language Processing + CI/CD - Git/Git hub, Jenkins+ NOSQL Db - Mongo Db, Couchbase+ Columnar in-memory databases like - Kognitio, Jethro+ Familiarity with AWS+ Json data processing+ Unix Shell Scripting+ AbInitio GDE+ EME, data lineage, dependency analysis,+ PDL, DML Meta programming+ Continuous Flows, MQ queues, JMS queues, Abinitio queues+ Dynamic look ups (append able, writable etc), ICFFs+ Control-m, Autosys+ Core Java, OOPs concepts+ CVS, SVN, Mercury Quality Center, Hp Service Manager

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