OBJECTIVE:

Technology Consultant, IOT Solutions Architect, Product Manager, Cloud Infrastructure DevOps Architect, Big Data Engineer and Data Scientist

SUMMARY:

18+ years of solid hands on technical experience in Software and Communication industries. Served many technical roles on large - scale enterprise projects.

IOT SOLUTION ARCHITECTURE AND DEVELOPMENT:

Sensors and Actuators: Oil & Gas Wireline Logging Instrumentation

OS, RTOS and Embedded Systems: Xilinx Spartan FPGA development board, Mentor Graphic Modelsim, VHDL, Verilog, Raspberry PI embedded system.

Networking and VoIP: Switches, routers, gateways, DNS, DHCP, VoIP, SBC, NEC 3C Unified Communication

Wireless Technologies: CradlePoint Wireless/WiFi modem and router, Confidential GSM, CDMA2000, LTE, OSS/BSS, TEMS TI, PlanetEV Wireless network planning and Optimization

Edge Computing Platform: ADDC Micro data center

Security: Microsoft Active Directory, IAM, Security groups, encryption, Directory Service, Key Management Service, PAM, SIEM, Splunk, Wireshark, static code analysis, penetration testing (ZAP), Dawn and Brakeman for ruby-on-rails, sql injection and vulnerabilities detection, SSH and Certificates, SSL, HTTPS

DevOps automation:

Source Control / Version Control: Git and GitHub, SVN, AWS Code Commit, Eclipse

Continuous Integration and Continuous Delivery (CI/CD): Jenkins and plugins, Vagrant, AWs Code Deployment, AWS Code Pipeline

Build Automation: Ant, Maven, Junit/TestNG, Bash shell scripting, AWS CLI scripting, AWS Lambda scripting, Windows PowerShell scripting, Ruby Rake scripting, Python programming, SQL queries and stored procedures, WinSCP

Deployment Automation: Docker, Chef, AWS OpsWorks, AWS CloudFormation

Build Repo: Artifactory, AWS S3

QA Test Automation: Selenium, SOAPUI, HP QTP/UFT, TestComplete

Release Management: GitFlow, HP ALM, ClearQuestEnterprise Web App Frameworks Ruby-on-Rails, J2EE

Infrastructure code: AWS CloudFormation templates, AWS Elastic Beanstalk, AWS OpsWorks, AMIs, CodeDeploy, CodePipeline, Blue-Green Deployment for database deployment and failover. Backups, snapshots and disaster recovery, data migration.

Services: AWS Compute Services (EC2, ECS), AWS Storage Service(S3), AWS Network Services (VPC, Route53, ELB and Auto-scaling), Elastic Load Balancing, AWS App Services (SQS, SES, SNS, SWF), AWS CloudWatch, CDN and CloudFront, Databases (RDS, DynamoDB, Redshift, ElastiCache), AWS Identity and Access Management.

Monitoring: CloudWatch, CloudTrail

Data Science, Big Data Engineering, Data Integration ETL/DW/BI:

Relational databases experience: PostgreSQL, MySQL, Oracle, MS SQL, AWS RDS

Big data and Hadoop ecosystem experience: HDFS, HBase, Hive, Spark, Impala, Cassandra, HBase, Solr, Kafka, Flume, Sqoop, Elatic Search, Yarn, Ambari, Hue, Splunk, AWS DynamoDB, AWS Redshift, EMR, ElasticCache, Azure Cosmos

Programming languages experience: Bash shell scripting, Python, SQL, Java, C#, Pig Latin, HiveQL, AWS EMR, Azure Cosmos Scope

Data science tools experience: Python, Pyspark MLLib, Pandas, Numpy, Scipy, Matplotlib, Scikit Learn, Keras, TensorFlow, TFLearn, Matlab, R, R, Matlab, Excel and PowerBI

Machine learning Algorithm experience: Linear Regression, Logistic Regression, Naive Bayes, Decision Tree, K-nearest Neighbor, Gradient Descent, Neural Network, Deep Learning, SVM, Ensemble Learning (Random Forest, AdaBoost, Bagging, Stacking), KMeans, EM clustering, Association Rules, Time Series analysis, Principal components analysis, and performance evaluation (ROC, Confusion Metrix, RMS error).

Data modeling and ETL experience: TOAD Data Modeler, TOAD Data Point, Talend Data Integration, Pentaho, MS SQL Server SSIS, Oracle SQL Developer, AWS Schema Conversion Tool, AWS Database Migration Service, AWS Data Pipeline, T-SQL and PL/SQL, Bash Shell scripts and Python tools (Pandas, PETL, etc.)

Business Intelligence systems: MS SQL BI SSAS OLAP, MS SQL Server BI SSAS data mining, MS SQL Server BI SSRS analysis reports and dashboard development

Performance testing: Test plan, test strategy, scalability and capacity planning, performance and scalability test scripts, performance benchmark and optimization (response time, latency, throughput, utilization etc.) for various layers including OS and infrastructure, JVM, Web server, databases and application code. Database performance benchmark and stress tests, bottlenecks identification and tuning, index optimization / maintenance, query optimization, data integrity constraints, database maintenance, profiling / monitoring and performance reporting.

Tools: JMeter, HP LoadRunner, NewRelic, pgbench

WORK EXPERIENCE DETAILS:

Confidential

Sr. DevOps Engineer

Responsibilities:

• Led pre-sale meetings and discussions to understand end users’ needs and requirements for industrial IOT and edge-communication solutions.
• Developed and presented proto-type demos fully configured for unified communication to internal and external audiences.
• Developed and presented proto-type demos fully configured for industrial IOT to internal and external audiences.
• Researched and evaluated various COTS technologies to build edge-communication solution.
• Researched and evaluated various cloud technologies to build industrial IOT edge-computing micro data center supporting various verticals.
• Architected and implemented Continuous Integration and Continuous Deployment workflows automation pipelines for installation and configuration of OS, software applications, updates, network configuration scripts, packaging, deployments and bug fixes, version management, roll back, roll forward etc.

Confidential

Application architect

Responsibilities:

• Architected and implemented Continuous Integration and Continuous Deployment workflows automation pipelines.
• Implemented DevOps parallel and scalable architecture for nightly builds, pull requests, zero-down time production releases, zero down time rollbacks, and GitFlow.
• Developed build, deployment, unit test and regression test automation scripts.
• Managed each layer of DevOps solution: GitHub, rake and bash scripts, Ant/Maven, Jenkins, AWS code deployment, chef recipes, build repo, AWS RDS.
• Architected and implemented ETL, data migration automation pipelines between on-premises data sources (Oracle, MySQL, FTP server) and AWS cloud RDS databases (Postgresql) and AWS S3 file storage.
• Developed bash scripts, SQL queries and JSON scripts for ETL, data migration and adhoc KPI reporting.
• Developed daily, weekly and monthly ETL and data migration workflows for Talend jobs, AWS Data Pipeline and AWS Database Migration Service (DMS).
• Developed Weekly reporting automation pipeline for auto generation of KPI and dashboard in Excel and PowerBI.
• Performed PostgreSQL database benchmarking, performance and scaling testing, index tuning, query optimization and data integrity constraints checks.
• Researched and evaluated various approaches, solutions and tools for data management and developed and presented design documentation, proof of concepts and prototypes to the project teams.
• Designed, developed and maintained logical and physical data models, database schema, data dictionaries, roles and permissions etc.
• Performed research for data integration strategy between Certify database (AWS RDS) and external systems using PostgREST RESTful Web Services APIs.
• Defined scope of work, backlog and data management architecture in AWS cloud.

Confidential

Technical Lead

Responsibilities:

• The Open Data Development project provided Confidential public data such as patents, trademarks, and events data via a set of RESTFul Web Services APIs for the consumption of developer community to promote development of new data products, analytics and services. It used Apache SolrCloud to implement dynamic search and relevance functionality on semi structured and unstructured events data. The solution also implemented bulk data downloads, visualization and analytics reports. To ensure scalability, high availability, fault tolerance and security, the solution was deployed in FEDRAMP compliant AWS cloud.
• Performed evaluation of enterprise architectures and tradeoffs between application functionality, organizational constraints and quality attributes such as availability, fault tolerance, scalability, performance, security, extensibility, interoperability, testability, and usability etc.
• Designed, documented and implemented cloud-based, on premise and hybrid enterprise solutions using Amazon AWS cloud technologies. Provided technical expertise and guidance from application, cloud and DevOps architecture to database development and delivered scalable, reliable, highly available and maintainable Open Data solution.

Confidential

Database Performance Testing and DevOps Automation

Responsibilities:

• Created test plan for benchmarking and performance tuning of National Transit Database (NTD) and verified that the NTD framework meets the minimum performance standards established for this project. Identified performance intensive business scenarios and usage patterns and typical workload for each scenario. Identified most time consuming database queries/stored procedures and resource intensive batch jobs for NTD application. Identified performance measurement metrics for each tier of the application—such as, response time, throughput, utilization (CPU, Memory, Disk I/O, Network I/O), JVM’s heap size, threads, GC interval, Application Server’s thread pool size, JDBC connection pool, queue length, prepared statements and Database Server’s SQL query execution time etc. Defined performance requirements and acceptance criteria—such as, current and desired load; response time; throughput; resource utilization; error-rate; configuration parameters; performance intensive business use cases.
• Analyzed test results and prepared test metrics. Investigated performance bottlenecks in the system—the application tier which was bound by a system resource. Eliminated the congestion by tuning performance impacting configuration parameters of the bottlenecked backend resource. Optimized code as needed by profiling it and focusing on the operations in the profile taking the most time, and compared the performance between creating new threads vs. using thread pools, and looked for synchronization bottlenecks.

Confidential

Integration and Automation Lead

Responsibilities:

• Led integration and testing of Confidential ’s multi-tiered Enterprise telecom operation and maintenance (OAM) solution for 4G/3G wireless networks. Performed extensive lab testing, audit and certification of Confidential equipment prior to launch on Sprint LTE network—activities included: installation, upgrade, integration, configuration management (CM), fault management (FM), performance management (PM), wireless data analytics and maintaining of OAM / OSS products (5620 SAM, NPO, NEM, WPS), LTE Core (MMEs, S/P-GWs, backhaul routers), and RAN (eNodeBs).
• Planned, installed and upgraded 5620 SAM and NPO in Network Readiness Test Lab ((NRT, MOCN). Performed software upgrade and executed regression, integration and interoperability tests for SAM, NPO, SGW, PGW, ENodeB. Designed test scripts using XMLAPI, CLI commands, HTTP SOAP etc. Performed eNodeB database reconfiguration and call trace analysis; prepared snapshot instances; created work orders and templates using WPS for eNodeB parameter updates.
• Analyzed wireless performance and faults data such as, performance counters and indicators, OM counters, QoS counters, per call measurement, logical parameters, PCAP/Snoop, call traces, NMS server logs and nodal debug files, historical alarms and faults etc. Discovered correlations and failure patterns; and formulated optimal parameter configurations for LTE nodes to address those issues. Developed KPIs, metrics and reports for monitoring network performance.

Confidential

SDE

Responsibilities:

• Led software development team for tuning and optimization of Microsoft’s Bing search engine. Conducted performance engineering studies and analysis to discover congestion and outliers in Microsoft’s Cosmos MapReduce implementation. Created benchmark performance tests to measure the performance improvements and regression in the cluster. Designed and developed predictive models and programs for capacity, utilization, and scalability planning. Developed models for live-site job execution flows in the production cluster and created congestion control algorithms to address the job failures scenarios.
• Performed code reviews, query optimization and technical discussions for data architecture. Developed data models, periodic standard reports, visualization graphs, scorecards and data feeds.
• Extensively used SQL Server Business Intelligence framework (SSIS, SSRS, SSAS) for ETL, OLAP cube design, data mining and reporting. Performed data integration, data migration, data collection, cleansing, data reduction, data validation, data transformation, pre-processing, and aggregation for large structured and unstructured datasets. Performed data analysis, predictive modeling, and visualization and reporting.
• Extensively used Microsoft big data technologies (Dryad, Cosmos Scope, Azure, C# LINQ, SQL); open source implementations (Hadoop, HBase, Hive, Pig, and Mahout) and machine learning tools (R and Matlab) for predictive modeling, prototyping and data analytics.
• Performed ad-hoc exploratory statistics and data mining tasks. Performed complex data analytics using machine learning and statistical approaches on high dimensional massive data sets and streams coming from various pipelines—consisting of thousands of servers and multiple data centers around the world—such as impression logs, query result page views, user events and click streams, user behavior for each query, ad impressions, ad clicks, ad conversion and revenue, seen URLs and web browsing history etc. from Cosmos, Search, AdCenter, MSN Toolbar, Internet Explorer, and Web content generated by search crawlers and Web graphs generated by Index pipelines.

Confidential

Technical manager

Responsibilities:

• Worked with COs/CSs for capturing existing manual business processes for Confidential contract management. Identified business requirements, use cases and enhancements and obtained acceptance from stakeholders for the proposed solution.
• Worked closely with development team for creating reference implementation of SOA-based enterprise acquisition and contract management BPMS solution and ESB Message Transformation and Routing service prototype which enabled interoperability among various Confidential external interfaces and legacy web application entities. Worked with leads and engineers to ensure that the solution meets functional, quality, performance, scalability, privacy, security & usability goals. Developed UAT testing methodologies, strategies, test cases, scripts, test automation framework, KPI metrics, and QA metrics to ensure that the product meets the specified requirements with excellent quality.