Sreehari Tippana

About Sreehari Tippana

Deliver solutions to the data related prblems using data analytics and machine learning with Spark,Python, Hadoop Eco system, Teradata and Tableau.#• Worked in provisioning and managing multi-tenant Hadoop clusters on public cloud environment - Amazon Web Services (AWS) and on private cloud infrastructure - Open stack cloud platform#Developed multiple POCs using Spark and deployed on the Yarn cluster, compared the performance of Spark, with Hive and SQL/Teradata.#Developed Kafka producer and consumers, cassandra clients and Spark along with components on HDFS, Hive#Involved in converting Hive/SQL queries into Spark transformations using Spark RDDs, Python and Scala.#Training and Knowledge in Mahout, Spark MLlib for use in data classification, regression analysis, recommendation engines and anomaly detection. Automating the jobs using Unix shell scripting and providing production support.# Extensive experience in software size estimation, cost and resource estimation, RFP - proposal writing, due diligence study and preparation of statement of work and project management skills, technical presentation, client liaison# Architected data warehouse from requirements gathering to conceptualisation to creation of data marts using Inmon and Kimball methodologies# Expertise in writing Bteq scripts and load utilities FastLoad,MultiLoad and TPT.# Very good hands on experience in Informatica Transformations such as Expression,Source qualifier,Look up,update strategy# Creating dashboards using Tableau# Develop Tableau reports that provide clear visualizations of various industry-specific KPIs# In depth and thorough knowledge of development and design with RDBMS -OLTP, dimensional modeling using data modeling tool ERWIN, Er-Studio. Involved in analysis, development and migration of Stored Procedures, Triggers, Views and other related database objects with solid experience in Teradata, Oracle and IBM-DB2.

Experience

1. Senior Data Engineer

   Amazon

   Dec 2019 — Present · Seattle, WA, US

   Data engineer for retail GSF and AWS organizations. Curated analytics platforms and processes for science, product, and inter-org data teams. Data infra set up and management (AWS Finance) Data Design and architecture using AWS tech stack. ELT and ETL Serverless ETL (AWS Lambda/S3/Glue) Developed atypical data ingestion like \"email-to-Redshift\"(where an external partner emails a specially-set up email address to ultimately load an email or email\'s attachments into a data store) Deep knowledge of distributed data processing/storage, and the application of this knowledge into tight query optimization. AWS experience: Redshift, Redshift Spectrum, S3, Lambda, Cloudwatch Events, AppFlow [SFDC], Kinesis Firehose, Workdocs, RDS, Chime (webhooks), Simple Email Service (SES), Glue SDLC: Scrum, Kanban

Education

• Jawaharlal Nehru Technological University

  Bachelor of Technology (BTech), Computer Science

  2001 — 2005

• Jawaharlal Nehru Technological University

  Bachelor's degree, Computer Science

  2001 — 2005

Skills

• Informatica
• Business Intelligence
• Hive
• Performance Tuning
• Data Analysis
• Databases
• Hadoop
• Technical Analysis
• Software Development Life Cycle (Sdlc)
• Ca7
• Teradata
• Physical Data Modeling
• Db2
• Big Data
• Analytics
• Oracle
• Requirements Analysis
• Troubleshooting
• Extract, Transform, Load (Etl)
• Data Visualization
• Ibm Db2
• Sdlc
• Mainframe
• Tableau
• Teradata Data Warehouse
• Sql
• Apache
• Data Warehousing
• Uc4
• Database Design
• Logical Data Modeling
• Unix
• Data Modeling
• Apache Spark
• Python
• Shell Scripting