Big Data, Cloud, DevOps Specialist Resume

SUMMARY

Accomplished IT leader with a 20 year track record of successful strategic and tactical leadership within the IT industry.
Visionary and creative with a positive attitude and steadfast commitment to excellence.
Expertise in managing matrix organization / cross - functional teams to achieve maximum results.
Entrepreneurial leadership style with highly effective planning, organizational and communication skills as well as a solutions-oriented approach to problem-solving.
Demonstrated ability to instill a common vision and develop a dynamic team based on trust and mutual respect.

TECHNICAL SKILLS

IT Strategy
IT Management
BP Improvement Managed up to $200M project budget Managed up to $500M/yr. Portfolio Trusted Advisor
Solution Architect Global Portfolio Management RFP
RFI
SOW
SLA management Communicate efficiently towards the goal Quick learner and willing to learn new concepts HIPPA & SOX adherence Water Fall
Agile
Scrum Projects Multitask across multiple project streams Business Development
Staff recruitment CAPEX / OPEX budget management RFP
RFI
SOW
SLA management C- Level interaction with stakeholders Capable of working independently with resultsDevOps & Cloud: Amazon Web Services (AWS)
MS Azure
GCE Datacentre Management
Migration
Disaster Recovery
Business Continuity SiteOps
WebOps Private
Public
Hybrid Clouds IaaS
PaaS
SaaSVagrant
Ansible
Chef
Dockers
Puppet awcli Continuous Integration & Delivery (CI/CD)
Data Analytics
Mining
Warehouse(EDW)
ETL Data Modelling
ERD Oracle/MySQL/SQLServer/NoSQL
MPP Descriptive/Diagnostic/Predictive/Prescriptive AnalyticsHadoop
HDFS
MapR
Yarn
Ambari Data Sanitization & Integration Machine Learning
SPARK
Kafka
SCALA
MahoutCDC change data capture towards Data LakeSSIS
SSRSAmazon S3
Redshift
ElastiCache
DynamodbSoftware Product Development:Amazon Mobile Hub
SOA iOS & Andriod development
SDLC LAMP/WAMP/MAMP
Visual Studio Python
PHP
JAVA
R DreamFactory
Rest API
Apiary B2B
B2C
Blockchain solutions Gitlab
Jenkins
JiraHigh Frequency Trading in Stocks/FOREX Linux/Unix
Aix
Mac
Windows shell scripting Openfire xmpp server Cross Platforms Applications Integration SOAP
XML
JSON manipulations

PROFESSIONAL EXPERIENCE

Big Data, Cloud, DevOps Specialist

Confidential

Responsibilities:

Implementing ‘Automation Orchestration’ through combining Big Data, Cloud & DevOps and interfacing it with custom mobile apps with limited control towards monitoring of datacentre infrastructure/applications using the REST API calls. Thus, providing Descriptive, Diagnostic, Predictive and Prescriptive analytics for better management and insight.
CDC (Change data capture) methodology of Attunity implemented at various fortune 50 customers to move data between heterogeneous data storage engines (SQL/non-SQL) for providing real time analytics with data security.
Major implementations included Oracle-SAP, SAP HANA, Hadoop, Hive, Kafka, S3, Redshift, SQL Server, MySQL, DB2. Also provided BigData, DevOps-Cloud Architecture consulting.

Confidential

Chief Technical Advisor

Responsibilities:

Provided BigData, DevOps-Cloud consulting towards implementing a state of art Waste Management solution.
Implemented end to end solution, from capturing data through IOT devices (NFC) for applications supported through DevOps approach on the Cloud environment applying the 12 Factor-App methodology.
Implemented TMS, WMS, 3PL, VMI, SRM, CRM solutions using open source software.
Various data tools (Kafka, Mahout, Storm, Microsoft BI, SSIS, MongoDB, MariaDB, Oracle, SQLserver, MySQL) are used to interpret the data in Hadoop’s data lake.

Confidential

Principal Consultant

Responsibilities:

Analytics driven approach towards reducing IT expenses with better Data Centre Management. Implementing an innovative data analytics solution driven by multiple data sources to migrate from allocation to utilization based model.
Managing optimization of its seven national data centres housing over 155PB of data and about 38,000 servers (consisting of Mainframes, VAX, pSeries, vBlock, ESX, pureAS). A data lake converging from over 20 different heterogeneous data sources was implemented towards the Big Data architecture to provide the Executive level Dashboard monitoring the $3.2 Billion annual IT budget.