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Ananya Chandraker

Data & Cloud Principal Consultant
Bangalore,Karnataka
Every problem is a gift—without problems we would not grow.
Tony Robbins
Ananya Chandraker

Summary

  • A high-impact Big Data/Cloud technical architect/Consultant/Engineer/Data Analyst and key business driver, specialized in creation, development, and administering of end-to-end, scalable, data-driven “big data” applications in cloud.
  • With 10+ years of track record, I deliver data-centric solutions achieving monetization, cost savings and product optimization. Build sophisticated applications with versatility, scalability, and reliability.
  • Skilled in migrating legacy workloads to dynamic, resilient, and scalable platforms which will help clients to make the most of the cloud. Proficient in conducting technology workshop and training for onshore and Offshore client as per demand.
  • An anticipated big data infrastructure platform architect, able to identify gaps and shape a comprehensive, end-to-end design and technology strategy.
  • Successful Consultant promotes aggressive drive toward organizational change through research, optimization and systems development. Experience conferring with employees and management to address problems with internal controls and procedures negatively impacting business operations. Focused on reducing costs, streamlining processes and maximizing resource utilization.

Overview

10
years of professional experience
2
Languages
2
years of post-secondary education

Work History

Xebia IT Architect India Pvt. Ltd.
Bangalore, Karnataka

Principal Consultant
02.2018 - Current

Job overview

  • Project: 1 ETL OTT data inconsistency through Python and performing automation through Workato
  • Domain: OTT Platform
  • Duration: Oct 2021 – Present
  • Tools & Technologies: Python 3.5, SQL DB, Snowflake, Workato, Gitlab, PyCharm, AWS Cloud Services
  • Ensured accuracy and consistency of revenue data by addressing inconsistencies among various file formats used by different OTT platforms.
  • Enabled seamless integration of consistently formatted data into salesforce and snowflake for enhanced analysis and dashboarding capabilities.
  • Automation of ETL process through workato Ipaas tool and by deploying Python code in AWS lambda.
  • Led workshops with clients to identify their needs and develop appropriate solutions.
  • Advised clients on how to best utilize resources to improve operational efficiency.
  • Project: 2 Driving innovation through Data-Lake on AWS cloud
    Domain: Global Management Consulting Firm
    Duration: Dec 2019 – Sept 2021
    Tools & Technologies: AWS Cloud Services: IAM, VPC, S3, EC2, EMR, Athena, Lambda, RDS, Red Shift, SNS, SageMaker, CloudWatch, CloudTrail, AWSCLI, Trusted Advisor, Guard Duty, KMS, Python 3.5, Qubole data services, Hadoop, Spark, Hive, Terraform.
    Project Description:
    Constructed an enterprise-level Data Lake platform on AWS Cloud for the firm's Technology and Digital unit, encompassing platform evaluation, development of dev/test/production environments, hardening of Landing zones with robust security controls. Transferred on-premises/in-house applications to cloud-based infrastructure through the implemented data lake.
    Responsibilities:
    • Develop implementation plans for big data and Data Lake architecture team. Work with global architecture team to drive the technical strategy and architecture.
    • Work with Application Architecture and Development teams to identify requirements for distributed computing services.
    • Preparation of technology blueprints, supporting technical documentation and technology roadmap.
    • Engage in technology sourcing and selection activities on, working with third-party vendors to identify the solution options.
    • Research and evaluate new tools and/or new architecture and review with analytics and data scientist teams as applicable.
    • Cyber & firmwide security- Established cloud VPC and firewall based secure infrastructure & making sure application infrastructure is compliant with firm's policies and security requirements.
    • Work with engineering team to define best practices and processes as appropriate to support the entire infrastructure lifecycle – Plan, Build, Deploy, and Operate such as automate lifecycle activities – self-service, orchestration and provisioning, configuration management.
    • Working closely with platform delivery team, solutions architect, and application architects to create move their application to cloud and ensure the environments are built accurately as per the standards and full filling the need and as per firm's security standard.
    • Worked with Python to scrap the data from web and provide the same further to Analytics team.
    • Performed Git connectivity for the instances running in cloud to commit and read codes from the version control repository. Also created a connectivity between snap logic and GitHub to automate the ETL pipelines with CICD.
    • Develop easy to use documentation for the frameworks and tools developed for adaption by other teams
    • Iterate rapidly and work collaboratively with product owners, developers, and other members of the development team
    • Works with other team members, including DBA's, Other ETL developers, Technical Architects, QA, Business Analysts & Project Managers
    • Work directly with project owners across the business and plan, manage and execute key projects
    • Follow and improve established processes with an agile approach to deliver ETL and Program based solution.
    Project: 3 Product Feature development using Python
    Domain: Global Management Consulting Firm's Product Unit
    Duration: June 2018 – Nov 2019
    Tools & Technologies: Python 3.5, GitLab, Jenkins, SQL DB, GitHub, PyCharm
    Project Description:
    · Development of end-to-end Python code to handle different kind of client data and automate various ETL process of campaigning and promotion management product engine for retail, where user can go and create different kind of promotions and campaigns.
    Description:
    · Automation of vendor process creation through python ETL pipeline includes validation of file, vendor creation, user creation form values on file, policy & group creation for a central authentication System.
    · Python to automate client's authorization process to different users as per roles by calling different policy. This also includes policy creation and role creation API in customer authentication system
    Project: 4 AI Chatbot for legal team
    Domain: Artificial Intelligence
    Duration: Feb 2018 – May 2018
    Tools & Technologies: Python 3.5.2, NumPy, TensorFlow 1.2, NLTK, RestApi and HTML for the UI.
    Project Description:
    Creation of chatbot based on tensor flow to give replies based on learnings from various document as input.
    Description:
    · Implementation is based on the legacy seq2seq model (static RNN) in TensorFlow version 1.2 and higher.
    · Bot created with higher vision of using it in various domains and different kinds of Support activities like policy, sales, HR etc.
    · Bot has been trained using different kinds of conversation data, so it will be able to answer on different kinds of general conversation as well.

Affine Analytics
Bangalore

Senior Software Engineer
11.2014 - 02.2018

Job overview

  • Project: 1 Customer 360 view creation
  • Domain: Travel
  • Duration: Dec 2015 – Jan 2018
  • Tools & Technologies: Apache Spark, Qubole, AWS cloud services, Jenkins, Hadoop, Hive, HDFS, PySpark, Python, Spark ML, Dynamo DB, AWS Lambda, GIT, Confluence pages
  • The end-to-end pipeline system was designed & developed for the “US based largest online travel company” (Expedia USA).
  • Extended breadth and depth of data analysis by integrating a raw data source as inputs (i.e., users browsing logs to business insights).
  • Determined business objectives and built, debugged, deployed, and monitored production level PySpark code through effective cross-functional collaboration with 3 teams (Data Science, ETL and Champaign Analysis) in a dynamic, Agile/Lean environment.
  • Led cross-functional/cross-departmental collaborations, driving multidisciplinary team communication and cohesion.
  • Build an analytical framework over the existing data for deep dive insights and business decisions.

Trendwise Analytics
Bangalore

Big Data /Social Media Analytics Intern
05.2014 - 10.2014

Job overview

  • Project Description: A proof of concept building on analytics and enrichment of viewers data collected from various set-top boxes and social media.
  • Responsibilities: Designing concepts to capture and store the data in real time and apply analytics over it.
  • Storing the captured data in distributed environment (HDFS using Sqoop and flume), Analyzing the data by performing EDA, applying rule-based analytics and interpreting the results using hive and R.
  • Data Visualization: Learn tableau and create Dashboards to visualize the results generated.
  • Connectivity of tableau from various database and fetching of data to create dashboards
  • Designing of rich Graphical visualizations including Drill Down and Drop-down option in Tableau.
  • Creation of new derived fields from the existing columns and applying filter to aggregate data.

Education

SRM University
Chennai

Master of technology from Database Systems
09.2012 - 05.2014

Rajiv Gandhi Proudyogiki Vishwavidyalaya
Indore

Bachelor of Engineering from Computer Science and Engineering

Skills

  • AWS Cloud Service
  • IAM
  • Athena
  • VPC
  • S3
  • EC2
  • EMR
  • Lambda
  • RDS
  • Red Shift
  • EBS
  • SNS
  • CloudWatch
  • CloudTrail
  • Awscli
  • TrustedAdvisor
  • GuardDuty
  • KMS
  • Microsoft Azure
  • Data Bricks
  • Azure Data Factory
  • Azure Storage Service
  • Framework/Components
  • Apache Spark
  • Hadoop
  • Hive
  • Sqoop
  • Flume
  • Jenkins Pipeline
  • Languages
  • Python
  • PySpark
  • SQL
  • Shell Scripting
  • Software/Tools/Utilities
  • Qubole Data Service platform
  • Jenkins
  • Pycharm
  • Gitlab CICD
  • GitHub version control
  • Data Querying Tool
  • MySQL
  • MS SQL Server
  • Oracle 11g
  • AWS Athena
  • Spark SQL
  • Operating Systems
  • Windows 7/10
  • Linux (Ubuntu, Centos, Red Hat)
  • Mac OS X
  • Machine Learning
  • Basic of Linear Regression
  • Logistic Regression
  • Classification
  • TensorFlow

Personal Information

  • Gender: Male
  • Marital Status: Married

Publications

  • Analytics and Prediction over Student's Record, Ananya Chandraker & G. Vadivu, International Journal of Advances in Science, Engineering and Technology, Volume-2, April edition, 2321-9009
  • Mobile computing devices and its future, national conference on Business Technologies (TBTC-09)

Work Preference

Work Type

Full TimeContract WorkPart Time

Work Location

On-SiteRemoteHybrid

Important To Me

Company CultureWork-life balanceCareer advancement

Software

AWS Cloud

Python

PySpark

SQL

Big Data

Interests

Learning new tools and technology

Travel

Trekking

Availability
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thursday
friday
saturday
sunday
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evening
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Contact Me

ananyachandraker03@gmail.com

Timeline

Principal Consultant

Xebia IT Architect India Pvt. Ltd.
02.2018 - Current

Senior Software Engineer

Affine Analytics
11.2014 - 02.2018

Big Data /Social Media Analytics Intern

Trendwise Analytics
05.2014 - 10.2014

SRM University

Master of technology from Database Systems
09.2012 - 05.2014

Rajiv Gandhi Proudyogiki Vishwavidyalaya

Bachelor of Engineering from Computer Science and Engineering

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Ananya ChandrakerData & Cloud Principal Consultant