SUMMARY

• Extensive experience in Big Data, Machine Learning, Lambda based architectures to enable IoT scale processing in a way that leverages existing Business Intelligence and Business Analytics processes at scale. Experience architecting and rolling out near - petabyte scale solutions in health care, Pharma, automotive, heavy equipment manufacturers.
• I understand big data ingestion, data cleaning, prototyping, bringing prototypes to production, product design, setting up and managing data infrastructure, Machine Learning and Artificial Intelligence for business, and much more
• With experience as a hands on manager, architect, and individual contributor deploying Engineering for Testability solutions (DevOps and Site Reliability Solutions), have built up practices, lead teams, worked with key stake holders on projects ranging upwards of $500M down to $3M. Cloud migrations, digital transformations, big data and data lakes, DevOps, and SRE transformations. Experience includes private and public sector.
• E.g.: experience building out new practices and practice areas, selecting/hiring teams, working with the team hands on as well as management tasks:
• Perficient, grow the big data/AI practice: engage AI disruptors, develop collateral and propose solutions for Big Data: Lakes, Machine Learning, Lambda Architectures, and other digital transformations.
• Phoenix Consulting’s big data DevOps transformation practice. Samsung Music, iControl Networks, Monitize (acquisition), Autodesk (acquisition), Google SkyBox (acquisition). Typically included migrating from legacy systems to big data, migration from hosted to AWS, etc.
• Network Appliance: Lead Presales Engineer, acting Practice Lead, developing SAP practice
• Satyam: built SAP Greenfield Practice: $125M SAP Greenfield projects booked within 6 months. Focus on continuous integration processes to reduce project risk.
• Experience with ecommerce, buy side analytics, including add injection analytics, Sell-side and demand-side publishers (Yahoo, Pinterest, Samsung Music, Monitise, others)
• Experience with big data infrastructures, ETL, DevOps drive automation & scaling to Iot & WebScale footprints (Verizon, iControl, Pinterest, IBM Watson Earth, Samsung Music, Milk Music, others)
• Experience with SAP, some big data in retail (Federated/Macy's, WalMart, Raley's, Lucky Foods, Tesco, others)
• Reasonable understanding and experience with current "AI": Guided and unguided machine learning (Hadoop, Spark, MapR, Apache Mahout, MLib, IBM SystemML, etc.), Computer Science degree focus on AI and machine learning (San Francisco State University, Stanford (AI Lab))
• Good understanding and familiarity with capabilities and issues around cloud, hybrid cloud, tooling (CB/CI/CD: Jenkins/Maven/Git, Hadoop (HBase, Hive, Spark, Impala, Mahout), Cassandra, Kafka (Many including Verizon, Uber, Pinterest, IBM Watson Earth)
• Tools (Midlevel to Senior Level): Pentaho, Talend, Tableau, IBM MDM, SAP, Pega, Informatics BI, Hadoop, Spark, Apache Streams, NiFi, HortonWorks HDP, HortonWorks HDF, Amazon AWS, Google Cloud GCE, Microsoft Azure, Terraform, Ansible, Puppet, CloudFormation, Kafka, El, MongDB, Redshift, EMR, IBM Watson, Hadoop, Cassandra, memSQL, CloudWatch, Datastax, Cloudera, BigTables

PROFESSIONAL EXPERIENCE

Confidential

Data Lakes Solution Architect

Responsibilities:

• ETL/EAI & Data Lakes for large company Data Lake projects Lambda Architectures, focus on AI, Machine Learning components. Ideally across substantial silo’ed systems like SAP, Oracle, MS Dynamics, PeopleSoft, purpose built, mainframe systems, etc. to Hadoop/Spark. Certified Hortonworks HDP & HDF architect
• Permanent big data consulting roles (big data consulting lead/practice manager) or contract work with end clients (Big Data a REQUIREMENT).
• I will be happy to schedule a time to discuss your opportunity after I have seen an email from you describe the client’s needs.
• I am interested in permanent roles as a high travel consultant in a Big Data practice US, EU, North/South America, AsiaPacific Very interested in Africa
• Contract roles are fine in this world of specialty staff augmentation: US, EU, North/South America. Open to EMEA, but think those are more likely to be permanent roles.
• I have residences in, and will be based in, Barcelona for EU, San Francisco/Silicon Valley for US. Would base out of Hong Kong or Singapore for AsiaPac. Where appropriate, other locations are expenses paid or have expenses offset added to the rate, depending on actual work location, onsite vs. remote, etc.
• Home is San Francisco & Barcelona for US & EU. All work locations include expenses from these home locations; AMEA work locations to be discussed.

Confidential

Data Lakes Solution Architect

Responsibilities:

• Build awareness of digital disruptor’s technology, market, and competitive trends.
• Build collateral and lead projects in the big data architectures and deliver detailed big data/AI project tasks (feature enrichment, data exploration/visualization/categorization, break deliverables into Agile stories, test ML algorithms, etc.
• Guide clients in big data driven product and service design, technical and market analytics.
• Identify, assess, and develop big data driven strategies for customer, market, partnership, and channel opportunities.
• Recommend appropriate technologies, architect solutions, and lead their implementation.
• Business and technical assessment, 3rd party reviews/audits, strategies for problem project remediation.
• Technical and business integration strategy, for partner or acquired technologies, and realignment/restructuring to achieve business goals.