Candidates About

 

 

 

 

Fari Payandeh

 

******* Please Note: Only interested in opportunities with the Private Sector in Northern Virginia

 

AWS DevOps Engineer

Summary of Expertise:

My career can be characterized as combination of broad and deep experience covering the full spectrum of Information Technology. I have always been attracted to the inherent novelty of technology thereby making the process of learning new things enjoyable. 

Follow best practices and proven methodologies with respect to Infrastructure as code, Continuous Integration, Continuous Deployment, Big data, and Business Intelligence.

 

I have undertaken the following roles: AWS Architect, AWS DevOps utilizing Terraform and Ansible. SQL/NoSQL DBA, Hadoop Engineer (Amazon), Windows/Unix/Linux Administrator, JavaScript & Nodejs Programmer, Python Programmer, Data Analyst, Tableau Developer, Informatica Developer, Data Warehouse Architect, Business Intelligence Architect, VMware Administrator, NetApp Storage Administrator, and Instructor.

 

Technologies:

·        Cloud:

AWS

 

·        AWS Architecture:

Virtual Private Cloud, Availability Zones, EC2 instances, Subnets, Routing Tables, Network Access Control List (NACL), NAT and NAT Gateway, Route 53 DNS, Elastic Beanstalk, Security Groups, Users, groups, Roles, Policies, Auto-Scaling, Elastic Load Balancer (ELB), Cloud Front, Cloud Watch, Simple Storage Service (S3), Elastic Block Store (EBS), Glacier, Elastic Load Balancer, Auto Scaling, SNS, SQS, Lambda, Containers.

 

·        AWS DevOps:

Ø Provisioning Tools: AWS CLI, Terraform, Cloud Formation, JSON, YAML, Boto3.

Ø Configuration Management Tools: Ansible and Chef.

Ø Deployment Tools: Docker, Docker Compose, Vagrant, Packer, Github, Jenkins, Node.Js, Cloud Formation, OpsWorks, CodeDeploy, CodePipeline, CodeCommit  ,CodeBuild,  Blue/Green deployment and A/B testing.

      

·        Big Data:

AWS Elastic MapReduce (EMR), HDFS, Hue, Cloudera Manager, Hive, Pig, Impala, Sqoop, Flume, Amberi.

 

·        Packaging Tools:

Npm, pip, pip3, Maven, Chocolatey.

 

·        Linux flavors:

Red Hat, Ubuntu, CentOS.

 

·        Serverless Technology:

Lambda.

 

·        Real-time Streaming Analytics:

ElasticSearch, Splunk.

 

·        Programming Languages:

             JavaScript, Python, Node.js, Perl.

 

 

·        Operating Systems:

             Unix, Linux, Windows, VMware.

 

 

·        BI Tools:

Tableau, Power BI, Informatica, Excel.

 

·        Query Engines:

Hue, presto, zeppelin, Amberi.

 

·        Database:

             MySQL, Sql Server, HANA, Hive, PostgreSQL, Oracle, MongoDB,      

             Hbase, Aurora RDS, Cassandra, DynamoDB.

 

 

·        Database Tools:

             MongoBooster, Workbench/J, ElephantSQL, Navicat, MySql Workbench,

            JDBC, ODBC, Oracle Developer, Toad.

     

·        Testing Tools:

Junit, Artillery, Ghost Inspector, Selenium.

 

·        Web Data Sources:

Stackexchange, Kaggle.

 

·        Web Servers:

Nginx, Tomcat, Apache.

 

·        Storage:

NetApp

 

·        IDEs & Editors & Other:

Eclipse, IntelliJ IDE, Vi, Atom, VS Code, Sublime, Brackets, Google Developer Tools, Erwin 7.1, Visual Studio, Visio 2013, Excel 2013, Slack, Trello, Confluence, Jira, Adobe Creative Cloud, Corel Painter.

 

                        

 

Education & Certifications:

Master of Science in Computer Science, University of New Haven, Hew Haven, CT, June 1995

Bachelor of Science in Computer Science, University of Illinois, Springfield, IL, Dec 1993

Certified Scrum Master, Nov 2012

ITILv3 , Sep 2012

Red Hat Certified System Administrator, Apr 2010

ORACLE Certified Professional Database Administrator, Aug 2008

SUN Solaris Certified System Administrator, Jul 2007

 

 

 

 

 

Employment History

AWS DevOps Engineer

Foreground Analytics LLC

Feb 2014 – Present

·        Created the blueprint and the structures for AWS VPCs utilizing Terraform.

·        Utilizing Splunk, extracted and analyzed Cloud Watch logs.

·        Utilizing ElasticSearch, extracted and analyzed Cloud Watch logs.

·        Installed Mysql on Cassandra and enabled MongoDB to read from Mysql Tables.

·        Wrote Mapreduce and Hbase scripts using Python.

·        Created/Configured AWS Virtual Private Cloud, Availability Zones, EC2 instances, Subnets, routing tables, Network Access Control List (NACL), NAT and NAT Gateway, Route 53 DNS, users, Security Groups, Roles, Policies, Auto-Scaling, Elastic Load Balancer (ELB), Cloud Front, Cloud Watch, Simple Storage Service (S3), Elastic Block Store (EBS), and Glacier.

·        Worked with the developers and laid out an and end-to-end streamlined and automated process by which Continuous Integration and Continuous Deployment were successfully implemented.

·        Utilized Terraform and AWS CLI for provisioning AWS resources.

·        Utilized Ansible, Chef, JSON, and YAML for AWS Configuration Management.

·        Automated application deployment workflow by utilizing AWS ECS containers, Docker, Vagrant, Node.Js, CloudFormation, Opsworks, CodeDeploy, CodePiple, Codebuild,  Jenkins, and Github.

·        Created an automated event driven notification service utilizing SNS, SQS, Lambda, and CloudWatch.

·        Created and configured an AWS Hadoop Elastic MapReduce cluster.

·        Utilized Pig for running ETL jobs on Hadoop.

·        Transferred Data between Hadoop and the Target databases using Sqoop.

·        Utilized Hive, Impala and Tez to query the Hadoop Database.

·        Created Tableau Visualizations by connecting to AWS Hadoop Elastic MapReduce.

·        Migrated MySql Database to Amazon Aurora.

·        Ran queries against the Aurora Data Warehouse using Sql Workbench/j

·        Transferred data to Amazon AWS by using Amazon Database Migration Services.

·        Generated Jaspersoft reports by connecting to Amazon RDS MySql.

·        Utilized CloudWatch to produce metrics that provide information about the state of the domains.

·        Utilizing AWS Route 53 combined with DNS Failover to provide a fault-tolerant architecture with Health checks for user Websites. Amazon Route 53 Traffic Flow’s helps us understand how our end-users are routed to the Web Applications.

·        Configured CloudWatch, Lambda, SQS, and SNS to send alert notifications.

·        Configured AWS Lambda functions to log the changes in AWS resources.

·        Configured the Trusted Advisor to help reduce costs.

·        Created Users, Groups and implemented IAM policies.

·        Created and launched instances of EC2 Red Hat Linux with EBS storage.

·        Implemented the process of taking snapshots of the infrastructure according to Recovery Time Objective and Recovery Point Objective guidelines.

·        Configured Visual Studio to work with AWS enabling a suitable environment for writing code.

·        Developed interactive dashboards by leveraging Tableau's workflow capabilities.

·        Developed forecasting and trending reports by utilizing Analytics, Table

             calculations, Parameters, Maps, Trend Lines, Groups, Hierarchies & Sets.

·        Installed and configured Tableau Server.

·        Published Dashboards on Tableau Server.

·        I have placed few of my dashboards on display in Tableau Public:    

·        https://public.tableau.com/profile/faripayan#!/

Technologies: Amazon Cloud AWS, Terraform, Ansible, AWS RDS Aurora, AWS Hadoop (EMR), Tableau Desktop 9.1 & 10.2, Red Hat Linux 7.2, MySql 5.2, Node.js 6.4, Python 2.7 & 3.4.5, Chef 11, Github, AWS CLI, JSON, YAML, Docker, Vagrant, Packer, Jenkins, CloudFormation, OpsWorks, CodeDeploy, CodePipeline, CodeCommit ,CodeBuild, PowerShell, Hue, Pig, Hive, HDFS, Impala, Sqoop, Flume, Sql Server 2016, Oracle 12C, AWS RDS PostgreSql 9.2, Visio 2013, Atom, Sql Workbench/J, Cloud9, Ubuntu 16.04, Presto, Cloudera cdh 5.11, MongoDB 3.2, JavaScript 5 & 6, HANA S/4, Kibana, Alooma, Flink, Kafka, ElasticSearch, DataStax cassandra 4.5, Tomcat, Apache Web Server,Brackets, Jupyter Notebook, PySpark, SparkSql, Databricks, Python Matplotlib & Pandas, Tableau 10 Server, Nginx Web Server 1.10

 

 

 

 

 

 

 

 

Data Warehouse Architect

Mythics, Inc        

Nov 2012 – Dec 2013

Public Trust Clearance – ADP Access: T-1.  Apr 2013

·        Used Terraform to create AWS VPCs.

·        Utilized Ansible as a configuration management tool as a Devops engineer.

·        Wrote Ad-Hoc queries on the Hadoop cluster using Impala.

·        Utilized Hue to query the Cloudera data.

·        Created an ETL job using Pig to automate source to target data transfer between Hadoop and MySql.

·        Configured Tableau to read data from Hadoop and created Dashboards.

·        Created an AWS private Cloud and configured an EC2 instance to house an Oracle RDS Database.

·        Created AWS Subnets, Elastic Block Store (EBS), Availability Zones, Auto-Scaling, Network Access Control List (NACL), Route 53, and Simple Storage Service (S3).

·        Migrated applications to AWS.

·        Designed the ETL processes.

·        Created Star schemas, and Fact tables.

·        Developed forecasting and various trend reports by extensively using Tableau Advance analytics like Reference Lines, Trend Lines and Bands.

·        Automated the process of data extracts for Tableau.

·        Developed Tableau dashboards.

·        Designed the staging area’s tables for extracting the data from disparate sources.

·        Created the logical and physical data models of the Data Marts in accordance with the requirements as   outlined in the functional specifications document.

·        Created the Star schemas and Fact tables for each subject area.

·        Designed the ETL architecture and data integration aspects of the Data Warehouse.

·        Created ETL workflows using Informatica Power Center.

·        Wrote Informatica Mappings, Worklets, and Workflows.

·        Cleansed the data as they were copied to the staging area as part of implementing data quality control.

·        Transferred and transformed the data from the sources to target Data Marts using Power Center.

·        Monitored the ETL jobs and improved throughput by tuning the process and optimizing the queries.

·        Proposed solutions and alternatives with respect to scalability, flexibility, ease of maintenance, time to delivery, and phased approach to release schedules.

·        Working closely with the project manager, product owner, and the scrum master in tailoring our development efforts around the scrum agile methodology; creating/grooming the product backlog, establishing sprints, and going through the sprint review process.

Technologies: AWS Cloud, Tableau Desktop 7.0.3, Terraform, Ansible, Red Hat Linux 6.7, Ubuntu 12.4, Informatica Power Center 9.1, Oracle 11g.2.1, Sql Server 2012& 2014,  Hue, Pycharm, Visual Studio, Visio 2007,  Idera, Python 2.7, Junit, Tomcat, Apache Web Server.

 

 

 

 

Data Warehouse DBA

Cogent Communications      

May 2008 – Jul 2012

·        Configured Esxi Hosts and created VMware 5.1 virtual machines.

·        Installed Oracle 12C on Red Hat Linux VM on VMware.

·        Managing VMware 5.1 Servers (VMguests) that host the on-premise Databases.

·        Wrote JavaScript programs using HTML 5 and css3

·        Worked in DBA capacity for the project in charge of Oracle and Sql Server source and target Databases.

·        Wrote Oracle PL/Sql and Sql Server T-Sql stored procedures to clean up the source data and improve data quality.

·        Designed a star schema comprising two fact tables and twelve dimension tables.

·        Developed Informatica mapplets, mappings, worklets, and workflows. Merged the data from the staging area into the star schemas. Scheduled Informatica jobs.

·        Managing 12 Oracle Databases (8i, 9i, 10g, and 11g), one of which is a Data Warehouse storing two terabytes of data; upgraded several Oracle Database from 8i and 9i to 10g.

·        Designed and implemented the ETL and data integration aspects of the Data Warehouse.

·        Wrote Java programs to help the Java programmers on an as needed basis.

·        Worked closely with our BI analyst and designed the Data warehouse star schema.

·        Developing Informatica mappings, worklets, and workflows.

·        Informatica Administrator; upgraded Power Center 7.1 to 8.1.

·        Developed Tableau dashboards.

·        Create action filters, parameters and calculations for preparing dashboards and worksheets in Tableau 

·         Hands-on development assisting users in creating and modifying Tableau worksheets and data visualization dashboards. 

·         Defined best practices for Tableau report development. 

·         Responsible for the creation of users, groups, projects, workbooks and the appropriate permission sets for Tableau.

·        Managing NetApp 7.2 storage; Creating Aggregates, Volumes, Luns, initiators.

·        Managing 10 Sql Server Databases (2005 and 2008), upgraded from 2000 and 2005 to Sql Server 2008 R2.

·        Installed Windows 2008 R2 cluster on VMware and installed Sql Server cluster 2008 R2.

·        Managing VMware 4.1 Servers (VMguests) that host the Databases; upgraded vcenter 3.5 to 4.1, created clones, templates, and monitored the ESX servers.

·        Remedy AR Server Administrator; upgraded Remedy 5.1 to 7.6.

·        SharePoint foundation 2010 Administrator; upgraded SharePoint Services 3 to foundation 2010.

·        Developing BASE SAS procs.

·        SAS Administration

·        Developing SharePoint and Wordpress Wiki sites.

·        Supporting the developers with their database requests.

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