Sai Chandra
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Sai Chandra Email & Phone Number

Data Engineer at Prudential Financial
Location: United States, United States, United States 6 work roles
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Current company
Role
Data Engineer
Location
United States, United States, United States
Company size

Who is Sai Chandra? Overview

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Quick answer

Sai Chandra is listed as Data Engineer at Prudential Financial, a company with 66 employees, based in United States, United States, United States. AeroLeads shows a matched LinkedIn profile for Sai Chandra.

Sai Chandra previously worked as Data Engineer at Ditech Group and Senior Data Engineer at Chewy.

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Prudential Financial

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Profile bio

About Sai Chandra

• Over 9+ years of IT experience in a variety of industries working on Big Data technology using technologies such as Cloudera and Hortonworks distributions. Hadoop working environment includes Hadoop, Spark, MapReduce, Kafka, Hive, Ambari, Sqoop, HBase, and Impala. Can work parallelly in both GCP and Azure Clouds coherently. • Hands on experience with different programming languages such as Python, SAS. • Able to use Sqoop to migrate data between RDBMS, NoSQL databases and HDFS. • Experience in Extraction, Transformation and Loading (ETL) data from various sources into Data Warehouses, as well as data processing like collecting, aggregating and moving data from various sources using Apache Flume, Kafka, PowerBI and Microsoft SSIS. • Hands-on experience with Hadoop architecture and various components such as Hadoop File System HDFS, Job Tracker, GCP, Task Tracker, Name Node, Data Node and Hadoop MapReduce programming. • Experience in handling python and spark context when writing Pyspark programs for ETL. • Seasoned practice in Machine Learning algorithms and Predictive Modeling such as Linear Regression, Logistic Regression, Naïve Bayes, Decision Tree, Random Forest, KNN, Neural Networks, and K-means Clustering. • Ample knowledge of data architecture including data ingestion pipeline design, Hadoop/Spark architecture, data modeling, data mining, machine learning and advanced data processing. • Implementations of generalized solution model using AWS SageMaker • Hands-on experience with Amazon EC2, Amazon S3, Amazon RDS, VPC, IAM, Amazon Elastic Load Balancing, Auto Scaling, CloudWatch, SNS, SES, SQS, Lambda, EMR and other services of the AWS family. • Used IDEs like Eclipse, IntelliJ IDE, PyCharm IDE, Notepad ++, and Visual Studio for development. • Very keen in knowing newer techno stack that Google Cloud platform (GCP) adds. • Fluent programming experience with Scala, Python, SQL, T-SQL, R. • Hands-on experience in developing and deploying enterprise-based applications using major Hadoop ecosystem components like MapReduce, YARN, Hive, HBase, Flume, Sqoop, Spark MLlib, Spark GraphX, Spark SQL, Kafka. • Worked on Dimensional Data modelling in Star and Snowflake schemas and Slowly Changing Dimensions (SCD). • Very keen in knowing newer techno stack that Google Cloud platform (GCP) adds. • Experience working with NoSQL databases like Cassandra and HBase and developed real-time read/write access to very large datasets via HBase.

Current workplace

Sai Chandra's current company

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Prudential Financial
Prudential Financial
Data Engineer
United States
Website
Employees
66
AeroLeads page
6 roles

Sai Chandra work experience

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Data Engineer

Current
  • Experience in building and architecting multiple Data pipelines, end to end ETL and ELT process for Data ingestion and transformation in GCP and coordinate task among the team.
  • The roles include creating data pipelines from application databases to Data Lake and warehouse and create stream and batch data processing pipelines.
  • Build data pipelines in airflow in GCP for ETL related jobs using different airflow operators.
  • Created python scripts to ingest data from on-premise to GCS and built data pipelines using Apache Beam and Data Flow for data transformation from GCS to Big query
  • Maintaining more than 16 PB, 300 nodes Cloudera's distribution Hadoop production and dev clusters. Perform daily health checks, work on alerts, and other related tasks.
  • Created Hive databases, tables and queries for data analytics as and when needed, integrate them with data processing jobs, and drop them as a part of cleanup. Also working on maintaining HBase database used by other.
Sep 2021 - Present

Senior Data Engineer

Dania, Florida, United States

  • Worked on AWS Data pipeline to configure data loads from S3 to into Redshift.
  • Using AWS Redshift, I Extracted, transformed and loaded data from various heterogeneous data sources and destinations
  • Created Tables, Stored Procedures, and extracted data using T-SQL for business users whenever required.
  • Performs data analysis and design, and creates and maintains large, complex logical and physical data models, and metadata repositories using ERWIN and MB MDR
  • I have written shell script to trigger data Stage jobs.
  • Assist service developers in finding relevant content in the existing reference models.
Jul 2019 - Sep 2021

Data Engineer

New York, United States

  • Designed and Implemented Sharding and Indexing Strategies for MongoDB servers.
  • Optimizing pig scripts, user interface analysis, performance tuning and analysis.
  • Used Hive to analyze the partitioned and bucketed data and compute various metrics for reporting on the dashboard.
  • Implemented the import and export of data using XML and SSIS.
  • Involved in Planning, Defining and Designing data base using ER Studio on business requirement and provided documentation.
  • Responsible for migration of application running on premise onto Azure cloud.
Feb 2017 - Jun 2019

Data Engineer

Hyderabad, Telangana, India

  • Deployed Lambda and other dependencies into AWS to automate EMR Spin for Data Lake jobs
  • Scheduled spark applications/Steps in AWS EMR cluster.
  • Extensively used event-driven and scheduled AWS Lambda functions to trigger various AWS resources.
  • Implemented advanced procedures like text analytics and processing using teh in-memory computing capabilities like Apache Spark written in Scala.
  • Developed spark applications for performing large scale transformations and denormalization of relational datasets.
  • Developed and executed a migration strategy to move Data Warehouse from SAP to AWS Redshift.
Apr 2015 - Nov 2016

Data Analyst

Hyderabad, Telangana, India

Involved in implementation of the project went through several phases namely: data set analysis, preprocessing data set, user-generated data extraction, and modeling.Participated in Data Acquisition with the Data Engineer team to extract historical and real-time data by using Sqoop, Pig, Flume, Hive, MapReduce, Land HDES.Wrote user-defined functions (UDFs).

Aug 2013 - Mar 2015
Team & coworkers

Colleagues at Prudential Financial

Other employees you can reach at ditech.es. View company contacts for 66 employees →

FAQ

Frequently asked questions about Sai Chandra

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What company does Sai Chandra work for?

Sai Chandra works for Prudential Financial.

What is Sai Chandra's role at Prudential Financial?

Sai Chandra is listed as Data Engineer at Prudential Financial.

Where is Sai Chandra based?

Sai Chandra is based in United States, United States, United States while working with Prudential Financial.

What companies has Sai Chandra worked for?

Sai Chandra has worked for Prudential Financial, Ditech Group, Chewy, Macy'S, and Yanasoftware.

Who are Sai Chandra's colleagues at Prudential Financial?

Sai Chandra's colleagues at Prudential Financial include Luis David Pedrozo Sarabia, Jonathan Romero, Jhon Niño Sua, Koumba Sidibe, and Juan Pablo Acosta Bedoya.

How can I contact Sai Chandra?

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