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Asp.net, Web Api Developer Resume

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KEY SKILLS:

  • SQL, ETL, Modeling, Tera Data, RDBMS, NoSQL
  • Hive, Hive partitioning, Hive ETL
  • Python, NLP, Selenium,
  • Beautiful soup 4, Data scraping from online websites.
  • Warehousing, SSRS, Data migration from one source to another.
  • Oracle VirtualBox, Linux, ETL job scheduling with Confidential
  • Cloudera, Hortonworks
  • Strong command of Api’s integration
  • Hadoop, Sqoop, Flume, HDFS, Big Data technologies.
  • Winscp file transfer window to linux

EMPLOYMENT HISTORY:

Asp.Net, Web Api Developer

Confidential

Responsibilities:

  • Worked on product development and support on nTask, NoSql and Data ModellingProjects
  • Add services
  • Configure services
  • Integrated cloudera navigator for analytics
  • Created CM dashboard for single page dashboard.
  • CM User access management.
  • Resolving bad and concerning health issues.
  • Installation and configuration Elasticsearch, Kibana, and Logstash on production environment
  • Extracted logs using Grok pattern
  • Created Kibana dashboard.
  • Integrated ELK with hadoop cluster.

Data Engineer

Confidential

Responsibilities:

  • Developed SSRS reports
  • Converted TeraData reports.
  • Break down the data from the daily extract file and dump raw data into raw zone database and apply business rules on it and transfer data from raw to refine zone using ETL
  • Revamped database of the organization, and converted TeraData scripts to Hive with partitioning.

Data Engineer

Confidential

Responsibilities:

  • Worked on scheduling jobs for run a hive script on daily basis for upgrade database.
  • Setup Hadoop on Linux, Cloudera. Confidential job scheduling, files migration
  • Basics of hive (partitioning and bucketing)
  • Fetch LinkedIn users profile contact info using selenium.
  • Created model for scraped profiles data
  • Populated data into SQL Server database using python.
  • Integrated Tweetpy api.
  • Extract twitter users data.
  • Number of followers against each user.
  • Using freelancing reviews
  • Tokenize words
  • Lemmatizing keywords
  • Filtration positive and negative keywords
  • Intelligent output with positive or negative review
  • Text source: Freelancing reviews.
  • Tokenize words
  • Implemented POS libraries
  • Filter nouns.
  • Extracting data using html element and id.
  • Extracted hosted websites data using url.
  • Extract emails from the extracted data using regex format.
  • Implemented SpeechRecognition using python library.
  • Converted voice to text.
  • Implemented Sentence and Word Tokenizer.
  • Sentence positive and negative conversion.
  • Converted text to speech the result using gTTS package.

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