SUMMARY

• Self - motivated, strategic and result-orient technology leader with progressive experience across broad range of technology and industries.
• Hands-on technologist with strong IT technical management background and has passion on technology innovations.
• Piloted on proof of concept for immerging technologies focusing on Big data, Cloud Native, Site Reliability Engineering and AI/ML Engineering.

TECHNICAL SKILLS

Big Data: Data Lake, SnowFlakes, Redshift, MongoDB, DynamoDB, Athena, BigQuery, Greenplum, Vertica, EMR, Hadoop, Hive, Spark

RDBMS: Oracle, RDS, Postgres, MySQL, MS SQL, Cassandra, spanner

ETL Control: Airflow, Informatica, Talend

Analytics: PowerBI, Tableau

Engineering: Test Driven Design, XP, Product Engineering, AI Engineering, Automated Testing, CI/CD, Infrastructure as Code, Serverless, Lambda, Python, Java, Scalar, NodeJS, React.js, Shell

DevOps/SRE: Terraform, Cloudformation, Jenkins, Dockerhub, Chef, Nagios, Ansible, Collectl/d, Elk, consul.io Prometheus, Grafana, fluentd, New Relic, Splunk, DataDog, git, github, bitbucket, ECR

ML/AI: TensorFlow, SagerMaker, Alexa skill service, Lex, Polly, Recognition

VM technology: VMWARE, Hypervisor, PV, HVM, VirtualBox, Xen, XCP

OS: Linux (Redhat, CentOS, Ubuntu..), Windows, Mac, Unix

Network: WAN/LAN, TCP/IP, VPN, NAT, Router, Switch, Gateway, firewall, DNS

Security: WAF, IDS/IPS, DDos, Sophos, X509, ACM, NACL, CyberArk, BigFix, Okta, Dome9

Management: IT Management, Vendor Management, Program Management, Team building, Recruiting, Motivation, performance-optimization, Crisis management, Presentation, Digital Transformation

Cloud Native: Microservices Architecture, Twelve factor, Domain Driven Design, Container, Kafka, Kubernetes, Redis, Docker, Restful API, SprintBoot, Thorntail, Zipkin, Jaeger, CNCF

Cloud Migration: CloudEndurer, CloudScape, Racemi, DMS

Cloud Platform: AWS, GCP, Azure, CloudFoundry, Mesos, Oracle cloud

PROFESSIONAL EXPERIENCE

Freelance technology consultant

Confidential

Responsibilities:

• Define Confidential cloud DevSecOps strategy and roadmap
• Define minimal baseline security standard for AWS EKS using CIS Kubernetes benchmark
• Evaluate container security enforcement configuration and tools (TwistLock, AquaSec)
• Define cloud tagging standard to enable cost governance, DevSecOps automation
• PoC GitLab based CI/CD for images DevSecOps pipeline
• Architecture support for application cloud migration use cases

Confidential

VP of Engineering and IT

Responsibilities:

• Delivered four next generation AI data products (AutoStats, Edge, Widgets and Automated Insights)
• Created engineering and IT performance transparency by implementing a serial of metrics driven process and developed necessary PowerBI reports.
• Ensured architecture best practices are followed through Architecture Review Board
• Enhanced Data API SLA transparency by implementing Prometheus/Grafana dashboards for Mashery APIs
• Provided clarity for Engineering team on data product architecture vision and roadmap
• Increased AWS data engineering productivity with AWS Big data immersion day event
• Accelerated cloud adoption with AWS platform built out
• Reduced email Phishing attack success rate through Phishing training and communication
• Rationalized systems and reduced 30% of Oracle database environments, 25% of O365 license costs.
• Reduced 10% IT budget through due diligence of tracking each IT budget cost items
• Enhanced O365 user account security by rolling out MFA for whole firm with internal support campaign
• Led the business continuity effort and completed Disaster Recovery Data center build out
• Successfully migrated 1800+ O365 users from Perform to Stats tenant within one month with extensive communication and onsite support campaign for smooth user experience transition.
• Evaluated global IT resources and drafted a viable organization plan that can meet 30% synergy target
• Completed AWS cloud integration between Stats and Perform group
• Completed new Data center build out plan for workload that can’t be migrated to cloud

Confidential, Chicago IL

Executive Director, CCB Cloud Enablement Lead

Responsibilities:

• Accelerated Big data cloud adoption for global technology through EMR enablement efforts. Completed security and regulation requirement analysis with Cyber team. Released EMR service catalog product for non-interactive use case. Evaluated EMR application use cases and provided architecture guidance through on-boarding process. Successfully on-boarded a CCB AI big data use case using EMR. Contributed to other big data service enablement efforts, such as Redshift, Athena, DynamoDB and S3.
• Expedited CCB public cloud adoption and successfully onboard 15 public cloud applications. Represented CCB on Firmwide cloud migration committee to move forward CCB migration cases and help Firmwide service enablement roadmap. Provided cloud design best practices guidance to CCB architects and engineering team leads through tech talks. Designed cloud migration decision tree to guide Engineering teams for cloud migration. Evaluated each one of CCB public cloud migration cases and worked through Engineering team to refactor application properly for successful on boarding. Provided architecture supported for credit card payment API public cloud PoC effort.
• Partnered with firm wide Kubernetes platform build out. Migrated an AI as service application using container service. Evaluated EKS, ECS and ECR enablement feasibilities. Built Kubernetes test environment.
• Adopted new cloud operation model, joined SRE initiative and supported SRE cloud stack implementation.
• Accelerated cloud adoption for Chicago Hub. Organized AWS Immersion day for Chicago employee with more than 500+ employee attendance. Led cloud meetups and study group for Chicago Hub.