SUMMARY:

• Innovative, hands - on, and dynamic technology executive that successfully leads next generation Information Technology initiatives, driving the enterprise in infrastructure, integration, intelligence, and innovation. Effectively develops IT strategy and leads the delivery of data quality, DevOps, data security, data governance, and cost-effective delivery of high-performance, MPP, AI, Big Data technology using Agile Methodology.
• Technology LeadershipBusiness LeadershipProject Leadership
• Big Data Analytics / AI / IOTPolicy / Procedure DevelopmentHybrid Multi Cloud
• Data Science Strategic PlanningContract Administration & RFPs Team Coach & Mentoring
• Data Governance / Data ArchitectureFinancial Analysis / BudgetingRegulatory Standards
• Blockchain Technology and DLTKPI & Performance ManagementAgile Methodologies
• Cyber Security RemediationsHIPPA/GDPR ComplianceOn/Offshore Leadership

TECHNICAL SKILLS:

Cloud: Microsoft Azure, Alibaba Cloud, AWS, Google Cloud Platform (GCP), IBM Cloud, Oracle Could

Databases: Azure CosmosDB, HBase/Hive, Cassandra, MongoDB, SPARK-SQL, MS SQL, MySQL, Oracle10g, Sybase 11/10, Elasticsearch-Logstash-Kibana, Redshift, S3, MemSQL, Neo4J-Graph DB

LanguagesPython, R, T: SQL, PL/SQL, UNIX Shell Scripting, PL/SQL, PERL, knowledge on JAVA, C#, C++

O/S: Amazon EC2, Ubuntu12.10, CentOS 6.2, 64Bit-IA Windows 2016/2019, HP-UX11.23, Hadoop-Clustering, NameNode, DataNode, Job Tracker and Task Tracker, MIT-Kerberos

Big Data HortonworksCloudera, HD: Insights, MapR, IBM BigInsights, Amazon EMR, YARN, HiveQL, Hcatalog, Ambari, Sqoop, Zookeeper, Flume, Kafka, Storm, Ranger, Knox, Oozie, Flink, Storm, Mahout, Zeppelin, Splunk, Tableau, Impala, ServiceNow, AtTask, Mulesoft, Cleo, Tamr, Trifacta

AWS: EMR, SageMaker, Lambda, S3, EC2, Rekognition, AWS Batch, Step Functions, Athena, SES, SQS, Glacier, API Gateway, AWS SFTP. Glue, Lex, Neptune, QuickSight

Azure DevOps, Data Lake Store (ADLS), Logic Apps, Data Factory, Stream Analytics, Cognitive Services

Data Science: CNTK, Spark MLlib, Azure, H2O.io, deepsense.io, Python, R, Tensorflow, NiFi, NLP, IBM Watson

Software: Azure Cognitive services, Active Batch, SVN, Git, VMWare, Jira, Erwin, Visio, SnapLogic.

Hardware: AWS-I2, HP-DL785/580,64-bit/48core/512GB RAM, HP-IA64/16GB RAM Rx3600, Hitachi Itanium 64-bit/16 Core/256GB RAM, Compaq Proliant5000/1600, JBOD, Dell Servers and IBM Blade.

PROFESSIONAL EXPERIENCE:

Confidential, NJ

Sr Azure Cloud Architect

Responsibilities:

• Migrated on-premise IT infrastructure to Azure Data Lake platform for multiple clients, reducing costs while improving mobility and high availability also maintained the HD-Insights Data platform & DevOps
• Worked closely with Global Sales Team, Customer Data Strategy Team and provided insights to improve efficiency, effectively retaining and expanding the customer base, boosting profitability.

Confidential, NJ

Senior Director Azure Data Architect

Responsibilities:

• Worked with huge data sets on players, fans, Confidential merchandise, viewership, social, and internal data to gain insights using Machine Learning and Deep Learning, identifying ways to improve monetization.
• Designed and implemented unstructured data such as press releases to a structured format and moved to Graph DB - Neo4j, providing visibility and insights into connected data.
• Used Computer Vision API and AI-Deep Learning group pictures for a given person picture on a pool of pictures, avoiding manual grouping of pictures that allowed for reduced cost and quicker output.
• Provided hands-on coding, team building, leadership, and coaching for the Big Data/Data Science team and served as Big Data/AI SME using Driverless AI using H2O and DataRobot, improving productivity.

Confidential

Senior Enterprise Data Architect/AI

Responsibilities:

• Integrated various tools for the secured Data integration of SAP-BODS, SAS, Mulesoft, Cleo, MemSQL, Tamr, Trifacta, Tableau, SAS, Microsoft BI, and Data Processing on the Hortonworks Big data lake, consolidating silos and adding visibility into data.

Confidential, Princeton, NJ

SVP-Technology/Big Data/AI Architect

Responsibilities:

• Built and configured Kerberos on HDP Data Lake and Big Data ecosystem tools and pulled data from MySQL-RDS data using Sqoop for financial analysis and reporting of a large volume of historical data.
• Designed, architected, and developed for JSON mobile real-time clickstream Time Series Data on ELK stack, AWS Kinesis, AWS-S3, Logstash configuration file and pushed real-time data into multiple Elastic Indexes for the Cohort Analytics of the iOS application users, improving user retention.

Confidential, NYC, NY

Lead Big Data Hadoop Solution Architect

Responsibilities:

• Built and designed the team structure to be resilient to business demand changes while still providing consistent performance. Drove a focus on critical areas while encouraging the team to venture into new areas and domains for Hadoop support and data services support.
• Migrated 150 crystal reports to SSRS Reports, helping retire Crystal reports server and helped to improve performance of certain time-consuming reports.
• Promoted innovative ideas and worked with the team to discover, propose, and implement ideas that will improve the quality of data assets and productivity, predict impacts, avoid disruptions, and pursue actions that are likely to succeed.

Confidential, NYC, NY

Vice President-Technology-Data Analytics

Responsibilities:

• Standardized and implemented the Data Governance body that managed the data quality, data management, data policies, business process management, and risk management for data from global offices within the enterprise.
• Automated daily customer data batch loads to improve efficiency of data loading process that saved time and costs.
• Maintained database systems and updated patches for Database and OS, improving system performance and security.