SUMMARY

• Having overall Eleven Plus years of working experience on various IT Systems & application using open source technologies with good understanding of Big Data Technologies, Machine Learning, SDLC and Project Management
• Experience in P&C Insurance, Health Insurance, Healthcare products and Aerospace domains.
• Experience in designing and developing application on Hadoop Stack using Java, Spark, PIG, HIVE, Mongo and Elastic Search
• Strong knowledge on implementation of data processing on SPARK CORE using SPARK SQL, MLib and Spark streaming
• Experience in statistical analysis (descriptive, diagnostic, predictive and prescriptive analytics) and various Machine Learning algorithms using Excel, R and Weka.
• In depth understanding/knowledge of Hadoop Architecture and various components such as HDFS, Map Reduce and YARN concepts.
• Experience in implementation of machine learning programs in Python, R and Scala
• Hands - on experience on various Hadoop distributions - Cloudera, Hortonworks and MapR
• Experience in implementing POCs for Internet of Things (IoT) solutions (Logistic and Home Automation during Hackathons) on Arduino boards
• Strong experience in full System Development Life Cycle (Analysis, Design, Development, Testing, Deployment and Support) in waterfall and Agile methodologies
• Strong knowledge on python packages - Scikit-learn, NLTK
• Strong knowledge on open source search technologies - Elastic Search, SOLR and Lucene
• Excellent analytic, logical, programming and problem solving skills
• Experience in developing SOAP and REST based Web Services design development.
• A proven resource in defining systems strategy, developing systems requirements, designing and prototyping, testing, training, defining support procedures, and implementing practical business solutions under multiple deadlines
• Exposure to project / people management in Captive / Service environment and leading virtual teams across globe.
• Passionate, flexible, collaborative, works independently, sets own goals and has a “can-do” positive attitude

Academics & Certifications:

• Bachelor’s Degree in Computer Science and Engineering from JNTU
• Cloudera Certified Developer for Apache Hadoop (CCDH)
• Big Data Analytics and Optimization from Carnegie Mellon University
• Certified for “Mongo DB for DBAs” from MongoDB University
• ITIL 2011 V3 certified professional

TECHNICAL SKILLS

Big Data: Hadoop Stack: HDFS, MRV2(YARN), SQOOP, Flume, PIG and Hive SPARK: Spark Core, Spark Streaming, Spark SQL and MLib

Machine Learning: Prediction, Classification, Clustering and Time series algorithms

NoSQL: HBase and MongoDB

Programming Language: Java, Python, R and Scala

Analytics Tools: RStudio, Weka, Excel

RDBMS: MySQL, DB2 and Oracle

Reporting: Tableau, QlikView, D3JS and Excel

PROFESSIONAL EXPERIENCE

Confidential

Sr. Big Data Consultant/Full Stack Developer

Responsibilities:

• Calculate Hadoop Storage for the project and deployed cluster in development environment.
• Installation of various Hadoop ecosystem components.
• Develop architecture for BlueSticker reporting and analytics.
• Created pipelines for data ingestion and from various channels, through the scripts written in PIG & Java
• Data is loaded into elastic search and mapping are indexing is created for quick retrieval.
• Front end is developed in AngularJS and server side scripting is handled through Node JS.
• Graphs are created in D3 for better visualizations.
• Performed Researching and deploying new tools, frameworks and patterns to build a sustainable big data platform.
• Worked with our Engineering partners to migrate approved Research artifacts into our Production environment
• Supported Research artifacts that have been migrated into Production

Environment: Apache Hadoop Native, AngularJS, NodeJS, D3JS, Elastic Search, Kibana, PIG, Rest Services

Confidential

Technology Specialist - Data Scientist

Responsibilities:

• Designing and developing data ingestion, aggregation and advanced analytics in Hadoop environment from MySql and Oracle databases
• Stream raw events of ASDI data from many sources using KAFKA
• Identify Real-time KPIs, Statistical Analytics, Baselining and Notification for better Actions and Decisions
• Writing programs in scala to run SPARK MLlib, for analytics.
• Installations of eco system components on Hadoop cluster
• Implementation if data analytics using machine learning algorithms
• Writing pig scripts for ETL jobs, to acquire data from multiple sources and convert them into uniform format
• Integrate Qlik view with hive for quick visualizations.
• Performed Researching and deploying new tools, frameworks and patterns to build a sustainable big data platform.
• Worked with our Engineering partners to migrate approved Research artifacts into our Production environment
• Supported Research artifacts that have been migrated into Production
• Involved in Designing, building, installing, configuring and supporting Hadoop.
• Translated complex functional and technical requirements into detailed design.
• Performed analysis of vast data stores and uncovers insights.

Environment: Hortonworks HDP 2.3.1, REST Services, Hadoop, Oracle, MySQL, SPARK, SCALA, XML and JSON.

Confidential

Sr. Hadoop Developer

Responsibilities:

• Actively involved in designing and developing data ingestion, aggregation, integration and advanced analytics in Hadoop, including Map Reduce, Pig/Hive and other NoSQL database
• Writing of MR and SQOOP programs to ingest data from Mainframes and MySQL databases
• Proactively engage with product and development teams to define next generation product features, specifications and requirements, and research on existing web technologies to design and implement these requirements
• Performed data formatting involves cleaning up the data.
• Designed and prepared technical specifications and guidelines.
• Developed and maintained high performance, high-available, scalable data processing software frameworks and data models.
• Validation of data integrity by running different API in ElasticSearch
• Adopted best engineering practices and develop high quality maintainable code.
• Contributed to Infrastructure planning and security definitions.
• Evaluated alternatives, process requirements, and collaborate with rest of the team for effective solutions.
• Delivered projects on-time and to specification with quality.
• Worked with the Architects, BA and users to define and ingest data from various data sources, model the data as appropriate and process them efficiently.

Environment: HDFS, Map Reduce, Pig, Java, Hive, Mainframes, MySQL and ElasticSearch

Confidential

Technical Lead

Responsibilities:

• Acquire, clean, integrate, analyze and interpret disparate datasets using a variety of geospatial and statistical data analysis and data visualization methodologies, reporting and authoring findings where appropriate.
• Accountable for designing and developing data ingestion, aggregation, integration and advanced analytics in Hadoop, including Map Reduce, Pig/Hive and other NoSQL databases
• Performed data formatting involves cleaning up the data.
• Designed and prepared technical specifications and guidelines.
• Developed and maintained high performance, high-available, scalable data processing software frameworks and data models.
• Adopted best engineering practices and develop high quality maintainable code.
• Contributed to Infrastructure planning and security definitions.
• Evaluated alternatives, process requirements, and collaborate with rest of the team for effective solutions.
• Delivered projects on-time and to specification with quality.
• Worked with the Architects, BA and users to define and ingest data from various data sources, model the data as appropriate and process them efficiently.
• Strengthen relationship with all teams and ensure proper stakeholder management.

Environment: TOPS, COMET, COSMOS, CLAIMS HIGHWAY and PHS NICE. Mainframes DB2, ALM

Confidential

Performance Analyst

Responsibilities:

• Data acquisition (streaming and batch) and Data aggregation from disparate systems
• Analyzing data using Machine learning, statistical analysis, and time series analysis
• Exposing data and results to consumers
• Near-real time data science to inform and drive the cloud storage product
• Analyze and document findings, providing recommendations based on issues found and potential operational impacts
• Applying repeatable methodology towards analyzing software systems for performance bottlenecks and developing test plans.
• Participate in product roadmap development, recommending improvements to core product offerings based on performance analysis findings

Environment: HP LoadRunner 9.1, Rally, Quality Center 9.2, VB. Net, PHP, Windows 2003 Server, ASP.Net, My SQL.

Confidential

Guidewire Analyst

Responsibilities:

• Acquire, clean, integrate, analyze and interpret disparate datasets using a variety of geospatial and statistical data analysis and data visualization methodologies, reporting and authoring findings where appropriate.
• Collaborate with business analysts and data scientists in eliciting and articulating solution requirements
• Design scalable data analytics platform and solutions
• Make architectural decisions for the data analytics platform and solutions.
• Assess, benchmark and select data analytics technologies
• Recommends process improvements and works with process owners to determine and manage implementation strategy and roll-out when there were gaps I have identified in package delivery.
• Analyze the technical and business requirements, including functional and non-functional requirements, to develop a systems solution.

Environment: Java, Team track, PVCS, Visio, Excel, Test Director, Mainframe CICS - DB2 and WebSphere

Confidential

Senior Analyst/SME

Responsibilities:

• Experienced in methods of Data profiling and Data Cleansing
• Collects, tracks and reports configuration management metrics and briefs senior leadership on status of CM within the program
• Support other development/QA staff with specific subject matter expertise
• Analyze data and do Root cause analysis
• Working on RDBMS and ETL tools to build new attribute to data
• Prepare and present data flow diagram and data quality standards and metrics.
• Articulate technical specifications, business requirements and systems specifications
• Translate highly complex technical issues to non-technical audience through "How To" documentations

Environment: Java, Visio, Excel, Test Director, Mainframe CICS - DB2 and WebSphere