United States

Data Product Management

Platform Product Management

Data Engineering

Architectural Engineering

Master of Science (MS)

Bachelor of Engineering (BEng)

Anandaganesh Balakrishnan

Principal Data Engineer

Collaboration

Critical-thinking

Team player

Conflict resolution

Leadership

Business intelligence

Cloud computing

Database management

Design systems

Python

SurveyMonkey

Tableau

Weka

Zeplin

Apache Spark

Asana

ChatGPT

Jira

Confluence

PostgreSQL

Kafka

• Creating and optimizing infrastructure for data virtualization.

• Leading data initiatives and creating strategies for data engineering and infrastructure.

• Supporting application developers, data products team, database developers, data scientists and other key stakeholders on data initiatives and ensuring optimal data delivery architecture is in place on a consistent basis.

• Built the analytics layer in the snowflake data warehouse using location, places, loans, and property data for building predictive models. Clustered and tuned the 1 trillion rows location table and improved the query run time by 70%. 
• Extracted and loaded the real estate, marketing, and vendor data into the snowflake using Fivetran. Applied complex transformations, created incremental models, snapshots, star schema, macros, and views, and built data lineage.

Created frameworks for storing OLTP data and historic data (OLAP) for Energy trading.
Created data pipelines to move historic data from Oracle RDBMS to Hadoop distributed file system.
Created data work flows for loading Bloomberg back-office files data for storing close dates and prices for Equities, Indexes, Futures, Currencies and Commodities data.

Implemented the capabilities for
Historic data retrieval and analysis using Hadoop, Spark and Hive.
Data back up and restoration using Oracle, Python and Hadoop.
Data visualization using Python.
Time Series Analysis for energy forecast data using Python, Hadoop, Spark and Hive.
Creation of machine learning models for predictive analytics for energy forecast, bids, awards data using Python.

Anandaganesh Balakrishnan🇺🇸

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