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AKANKSHA

Data Engineer
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Location Lucknow
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Total Views177
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Member since30+ Days ago
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Contact Details
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Candidate Information
  • User Experience
    Experience 5 Year
  • Cost
    Hourly Rate$20
  • availability
    Availability1 Week
  • work from
    Work FromOnsite
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    CategoryInformation Technology & Services
  • back in time
    Last Active OnJuly 14, 2024
Key Skills
Hadoop Admin HadoopSpark PythonOGCHiveTableau
Summary

A motivated, adaptable, and diligent professional with more than 4 years of experience in the IT arena. A Big Data enthusiast certified in Data Science with 2+ years experience with data warehouse technical architectures and ETL(with technologies like Hadoop,Spark, Python)


Data Ingestion project for a Mining Company

(05/2020 - Present)

Migrating 10 years of historical data from SQL to Hive using Pyspark

Extracting ongoing data from Replication tools, building OGG tools to replicate the data and load it to the EDH layer using

Kafka streaming and HBase. Ensuring data timeliness of real-time data captures and handling deployment and bug fixes(if any). Neilsen -- leading global information & measurement company based in the US (2018 - 2020)

Media Reporting- Data Analytics Migration of reporting tool from Java code to Spark using Scala Deals with two divisions: Watch and Buy. I was a part of the Media Viewing team

Proposed and Completed Spec Optimization for spark migration which reduced development hours and increased

efficiency.

Apache Spark—Real-Time Project—Marketing Analysis (2017)

A Portuguese banking institution—ran a marketing campaign to convince potential customers to invest in bank term deposits. The marketing campaigns were based on phone calls. Often, the same customer was contacted more than once by phone,

in order to assess if they would want to subscribe to the bank

term deposit or not. Loading data and creating Spark data frames, calculating market success rate, failure rate, quality of customers, feature

engineering on the age of customers and their impact on a campaign based on real-time. Creating data pipelines.

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