Ankit Chachra

Ankit Chachra

$13/hr
Big Data, Data Analytics, Data Visualization, BI | Hadoop, Microsoft Power BI & Tableau Certified
Reply rate:
-
Availability:
Hourly ($/hour)
Age:
33 years old
Location:
New Delhi, Delhi, India
Experience:
5 years
About

• Delivering smart and intelligent analytics at Fractal Analytics - working as a part of the AI, ML and Big Data Team to solve complex data problems and derive true business insights, thereby enabling development and deployment of highly scalable data engineering and consulting solutions across many Fortune 500 corporations

• Currently designated as Big Data Engineer (II) at Fractal Analytics - enabling development and deployment of highly scalable data engineering and consulting solutions across many Fortune 500 corporations

• Seasoned solutions architect with rich experience in leading and working across multiple platforms and domains like Bigdata at scale, AI, ML, Cloud, Management Consulting, Business Consulting, Data Analytics, BFSI, CPG etc.

• Keen on understanding the business flow before implementing cutting edge DWH/BI techniques to solve data challenges

• Previously designated as Big Data Developer L2 at Adobe Inc. and Associate L2 – Technology at Sapient (A Publicis Groupe Company) and functioning with the Big Data / Hadoop BI Development Team

• Microsoft Power BI Certified - Cleared the Microsoft 70-778 Exam for Analyzing and Visualizing Data with Power BI

• Tableau certified – Cleared the Tableau Developer and Tableau Data Scientist courses hosted by Tableau Software

• Hadoop Certified – completed a 6-month extensive training course from one of Delhi/NCR’s leading training institutes in 2018 which covered the essentials of Bigdata, Hadoop Administration, Hadoop Development and various tools residing in the Hadoop Ecosystem

• A competent professional with qualitative experience in managing and designing end-to-end Data Pipelines and ETL Pipelines using Spark, Python, Hive, PySpark, Impala, SnapLogic etc., having worked with a variety of OLTP and OLAP data sources like Salesforce, SQL Server, MySQL, SharePoint, OData, flat files like HDFS files, Excel workbooks, CSVs and TSVs – whilst also performing Hadoop cluster management on a day-to-day basis

Languages
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