Sameer B. Email & Phone Number

California, United States

Us

Sr. Technical Program Manager, Google GCP [Consulting], SF Bay Area Currently working as a Technical Project Manager for Google Data Center Data projects and responsible for developing and implementing Data strategy for Analytical Development, Data Management, and Governance.

San Fransisco, Us

Member to a group of Google alumni (Xoogler.co) and current Googlers who have come together to help each other advance our ambitions in the startup ecosystem. The Xoogler.co community consists of startup founders, early team members, angel investors, VCs, and mentors.

Fremont, Ca, Us

Our Consultative AL/ML, Cloud Subject Matter Expert (SME) offers strategic guidance in the areas of Data Architecture, Data Engineering, Data Pipelines, DevOps, AI Ops, LLM Ops, MLOps, CI/CD, Microservices, Docker, Kubern8s, and Site Reliability. Our experienced talent specialists are well-versed in AWS, Azure, and GCP Cloud technologies. They can help your team find the best match for Data Professional to support your AI/ML initiatives. Please contact us to learn more about how we can help your organization reach its goals.

San Francisco, California, Us

Led Revenue and Marketing AI/ML initiatives, managing platform, and data migrations, and implementing Data Integration & Intelligence stack technologies; Pivotal helped Asana Enterprise Technology achieve a crucial milestone in enabling self-service data structures and models. Despite the program falling behind schedule, my expertise has been instrumental in closely partnering with various business functions to grasp their requirements and priorities and translate them into actionable data infrastructure workloads, tools, processes, and technical program management plans. Leveraging my profound technical acumen in Data Management, Data Governance, Data Architecture, Data Engineering/ML Pipelines/API, DevOps practices such as (Test Frameworks, Automation (CI/CD) ), Data Governance, adept with Agile project & task management skills ( Use Case, Stories, Prioritize, deadlines, delivery), collaborative approach, and practical communication abilities, I have fostered solid cross-functional relationships with stakeholdersand their teams, resulting in a successful outcome in building Product Insights & Models; it has actively supported the Revenue & Marketing AI/ML Advance Analytics team in program planning, Model Preparations, KPI /Metrics planning, ET resource management, ET vendor management, and IT data management, all guided by the organization's OKRs and priorities. This entails closely collaborating with business functions to comprehend their needs and preferences and translating those requirements into actionable plans.

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Provided TPM support to evolutions and development of complex cluster components: acatalog to define and evolve physical and virtual datasets, a record-oriented dataset layer that enables applications to read datasets in any application environment, and a collection of development tools allowing data to be effectively treated like code by integrating with companies' existing software management stack to support Migration to Cloud, AI/ML initiatives, search technologies, and analytical tools on which all of the company's applications depend. This team also contributes to the technical community, such as Apache Iceberg, and open-sourcing these latest technologies. Led Initiatives and managed multiple cross-functional technical teams to deliver their objectives in fast-paced and complex programs and projects development of massive-scale distributed data platforms (clusters) used for recommendation and search technologies, big data pipelines, and analytical services. Develop strong partnerships with engineering and product management leaders to drive focus on strategic and tactical program objectives and business leaders to ensure program success, driving teams and individuals in planning and executing roadmaps, releases, and work backlogs. Identify risks, mitigations, and plans to resolve fundamental project conflicts and establish appropriate resolution paths and provide reporting as necessary on project status, risks, issues, and mitigation plans. Working directly with software engineering leadership, technical teams, and individual contributors as well coaching and practitioner experience JIRA / Agile Scrum, Project Plans/Sprint Cycles with large/multiple groups.

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Snowflake was selected by a BFSI Client as a cloud Datawarehouse platform to power a wide variety of their use cases. Managed the migration of business EDW (SQLServer) to Snowflake hosted on AWS, which also supports and augments their data lake strategy, building Source data pipelines, build data applications and scale BI and analytics. Designed snowflake Innovation and Test Center to prep their data for more use cases( in security, compliance area) and bring into CloudDW ML/AI workloads as they integrate more workloads into the overall data platform.

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Various Contracts

Mountain View, Ca, Us

Provided GCP Professional Services customers with Data & Analytics Architecture services who are about to embark on building an ML platform with GCP infrastructure foundations, Data Processing, Data pipelines, Data management and Analytics, end-to-end ML platform architecture and development. Consulted as Technical Project Manager for DataPiper at Google Cloud (GCP PSO)

Santa Clara, California, Us

Technical Director for Data Science & Analytics. Architected Solutions, Reference Architecture to include Cloud Warehousing, Machine Learning. Good understanding of AI/ML/Deep Learning. Partnership and Alliances (ex: Snowflake, GCP, Knime, Qubole, Looker, Talend, CW). Managed mentored offshore/onshore practice and delivery teams. Critical technical resource for (NETAPP )strategic customer initiatives for Cloud warehouse, AI Ops, DL/ML/NLP, IoT projects, ONTAP AI.

Milpitas, California, Us

Technical owner of the Cloud-based business intelligence (AWS), analytics infrastructure systems, responsible for their design, architecture, and maintenance. In-house expert to mentor and assist technical staff in mastering techniques and best practices associated with: data modeling; data warehouse, data lakes, machine learning, analytics, and big data.Cloud BI Architecture design, optimization and related activities of Hadoop, Data Ingestion, OLAP, Hive, Spark, AWS Redshift, EMR. Maximize the ongoing investment in Modernizing BI technologies by evaluating available features and building brand new Analytics Infrastructure as well ensure the BI and Analytics cloud infrastructure is maintained and updated as needed.

Sunnyvale, Ca, Us

Engineered and established Cloud-based Data Science (ML) and Advance Analytics experimental platform ( GCP/AWS). Go-to-market Sales and Marketing teams want to perform descriptive, predictive and prescriptive analysis for the Routing, Switching and Security product lines on a Customer’s Digital Journey, Customer Install base. Architected and Built Data Lake & Data Science infrastructure on AWS to support Worldwide Go-To-Market Sales and Marketing Data Science team. Oversaw all things data-related about supporting the GTM strategy for, Advance Analytics, and Big Data Solution. Scientists, analyst, developer’s working on massive sets of Social Media, Survey Data, Machine Data, Marketing Systems, Sales, Product & Customer master data used this platform to develop their use cases. Used open Source open analytics platform, R, Python, Spark, and Hadoop, for deep Insights and shared with Account Managers, Inside Sales teams and campaign team to generate sales opportunities. o Lead Business and IT teams on cloud initiatives to evaluate for Google Cloud (GCP) and Microsoft AZURE in analyzing GTM consumption for their data and analytics services, offering. o Architected and Design first of its kind, Data Science Lab on AWS in Juniper for a scalable data processing and analytics solutions, including technical feasibility and proposal development for Big Data Lake, Apache tools and stacks such as Hadoop, Spark, NoSQL, MySQL MongoDB, AWS Redshift, SQL Database, SQL Server.Facilitated as BI Delivery Manger for tools, technology, reports, and organized data that Account Managers and their GTM management need to manage their territories, compensations and to maximize the productivity of their teams to provide Senior Sales and Marketing leadership with MBR, QBR, AM Dashboard and Mobile Sales Enablement apps drive to support strategic business decisions.

Tysons Corner, Va, Us

Managed sophisticated Business Intelligence (BI)/data warehousing technology implementation, integration, enhancement, audit of BI / DW projects for large customers. Actively involved with Sales Teams in defining scope, proposals, and service engagements. Contributed to the technical account management and communications for customer satisfaction and implementation success. Responsible for successful delivery of specific customer engagements with the overall success of the BI Technical implementation in all areas of BI functionality, as well as subject matter expertise in sectors such as Databases, Mobile, SDK, Architecture, Security, and BI Planning.

Palo Alto, Ca, Us

Enterprise Data Warehouse and Business Intelligence Architect (2000-2002)• Collaborated on life cycle development and demonstrated a highly scalable Enterprise Data Integration Reference Architecture to potential commercial clients. Developed enterprise data warehouse for the telecommunications industry to help SUN customers make informed decisions, reduce complexity and risk associated with deploying highly scalable enterprise data integration platforms.Data Warehouse Architect & Lead (1996-2000)• Performed project planning, estimation, design & implementation. Architected and built Customer ProductRecall System to help SUN Professional Services and Quality Department to make informed decisions, and reduce complexity/risks associated with product recalls and part substitution. Built logical and physical data model. Designed tables, indexes, views, constraints, triggers, and SQL stored procedures.• Performed server sizing’s and benchmark analyses on SUN servers using the top 15 Business Intelligence, Data Mining /Warehousing tools. Analyzed system architectures to optimize and improve overall performance.• Performed project planning, estimation, design & implementation .Architected and built Customer Product Recall System to help SUN Professional Services and Quality Department to make informed decisions, and reduce complexity/risks associated with product recalls and part substitution. • Architected and built a Manufacturing Shop Floor Data Management/Reporting System using Oracle and other in-house systems. (Redbrick, 3 TB system).

Cert., Data Warehousing Tech

Bachelor Of Engineering - Be, Electrical And Electronics Engineering

Associate'S Degree, Management Information Systems And Software Services