Senior technology leader driving technical vision, strategic alignment, implementation, and support of critical workstreams in an enterprise-wide effort to modernize and transform the data ecosystem of 40+ siloed brand-specific data environments into a domain-aligned platform-supported data mesh. * Led strategy definition and execution for the following areas: ** Data Lake Platform as a foundational component of an Enterprise Data Mesh Strategy; ** Data federation and global cross-brand data accessibility; ** Data migration and Data Platform modernization as part of an Enterprise Cloud Migration Strategy; ** Data-at-rest architecture and strategy addressing data security, privacy, compliance, integrity, reliability, performance, cost-effectiveness, visibility, metadata management, etc. * Oversaw four global cross-functional teams of 55 software engineers, platform engineers, and architects, collectively supporting two critical PaaS solutions and several data environments. * Supervised conversion of a SaaS data replication solution into a critical PaaS capability, adding features to support data privacy, multi-tenancy, global distribution, workload optimization and centralized support, achieving SLO 99.95% uptime with 100Tb+ of daily data replications. * Formed and led a cross-functional data architecture group spearheading R&D of cutting-edge open-source solutions tackling data federation, data integrity, and data privacy and compliance. * Actively participated in the design, development and integration of key data platform initiatives including event streaming, data processing, analytics & BI, data governance, and AI/ML platform. Technologies: Presto, Spark, Kafka, Parquet, Terraform; AWS Glue, Athena, CloudWatch, EMR, PrivateLink, Macie, Lambda

Technology leader overseeing three global teams of 40 software and system engineers, directing the vision, design, and implementation of data platform solutions. * Took on three junior teams of software engineers and transformed them into an engaged and effective cloud platform development group that utilized lean/agile techniques and DevOps procedures, embraced customer-centric OKRs, and demonstrated continuous improvement across all critical KPIs.* Updated the organization’s recruitment procedures and job descriptions to attract and gauge candidates across the globe, interviewing and hiring several senior technologists and managers.

Technology leader working across organizational boundaries to design, evangelize and help build an enterprise-wide, cloud-based, cohesive data environment. * Designed and led the development of an event-based hybrid-cloud data replication service that became a centerpiece of the company’s data migration strategy, eventually driving the migration of over 1.5Pb of business data.* Partnering with the product management team, co-led multiple vendor engagements (Snowflake, Alluxio, Cloudera, Alation, etc.), resulting in the strategic adoption of several products ranging between $1M-$10M in annual contracts.Technologies: Hadoop, Spark SQL, Java, Snowflake; AWS EMR, SNS, Lambda, DynamoDB, CloudWatch, Athena, ECS

Senior leader driving data and technology strategy to support the company’s continued growth and enabling Data Science, Analytics, and Search teams to take full advantage of the data environment. * Worked with the Data Science team to help develop and operationalize scikit-learn data pipelines for ML model training, validation, and batch result scoring for two ML applications.* Prototyped and helped to operationalize Spark-based real-time data processing pipeline, enabling delivery of key differentiating features.* Led a cost optimization initiative taking advantage of new AWS features and Hadoop/Spark job/cluster optimizations to realize sustained 40%+ savings in the company’s overall cloud spend. Technologies: Java, Spark, scikit-learn, Avro, Parquet, Hadoop, Jupyter; AWS: EMR, Kinesis, Data Pipeline, CloudWatch

Technology leader directing design and implementation of a new cloud-based data platform and data processing solutions supporting the company’s growth.* Created, led, and mentored a highly motivated team of 7 engineers, delivering reliable, cost-effective, cloud-based data infrastructure and processing to fuel Point Inside’s exponential growth.* Managed design, development, orchestration, and operational support of dozens of Hadoop-based ETL processing pipelines powering customer-facing search functionality and applications.* Led the migration of business data and key ETL processes from an on-premise system to the new cloud-based platform, shortening daily runtimes by a factor of 10 while also reducing support and operational costs.

Technical team lead and a key contributor to the company’s Registration, Service Authorization, and Event Storage services used across all global Disney brands and properties, and requiring massive scalability and a high degree of reliability. *Led the design, development and performance tuning of a MongoDB-backed service supporting 100K TPS.* Key contributor to a massively scalable Cassandra-backed web service providing authorization for transactions to over 60% of Disney’s shared services.

Technical lead responsible for architecture, design and implementation of Wetpaint content management and decision support platforms.Key Technologies used: Java, Spring, Hibernate, Spring Batch, Alfresco CMS, Quartz, Tomcat, Jetty, MySQL, MongoDB, Lucene, Solr, Maven, Python, Ehcache, Memcached, Amazon Web Services (EC2, S3).

Led local and remote software development teams utilizing combination of agile and structured software development methodologies. Worked on data processing systems, web services and web applications. Key Technologies used: Java, PostgreSQL, Struts, Tomcat, Quartz, Apache Velocity, JasperReports, JAX-WS, JAXB