Internal Use - Confidential
Aakash
Shenoy
Data Engineering Technical
Lead
Address: Bangalore
Phone: 9441520607
Email: [login to view URL]
9 years of experience working on Enterprise Data Warehousing Projects & driving Cloud
Modernization Initiative for clients across Insurance and Finance Domains.
Leading & nurturing a team of 15 cross skills individuals delivering program goals in an
Agile Development Process.
Day to Day activities involve Design/Architecture Data Solutions, collaborate with
Business Stakeholders and building ongoing work stream and consulting, drive
development and overall Project Deliverables alongside Agile Ceremonies.
Drive Innovation and Innovation Mindset along the way and build a technically
competent team.
Skills
Data Architecture
Data Modelling
Data Warehousing
ETL,SQL,PL/SQL
Cloud Modernization (AWS, Azure)
Performance Tuning
Snowflake Cloud Data Warehouse
Teradata, Oracle
Matillion, Informatica
Certifed SAFe 5 Agilist
Certified SAFe 5 Scrum Master
CICD, GIT, Jenkins,UDeploy
Core Competencies
Thorough knowledge of data warehouse principles and techniques, including Data Modeling techniques
such as normalization
Strong experience in Extraction, Transformation and Loading (ETL) data from various sources (Oracle,
MS SQL, Flat files.,) into Data Warehouses and Data Marts using Informatica/Matillion as ETL tool on
Oracle Database, Teradata and Snowflake
Extensive programming skills in SQL, PL/SQL and SnowSQL.
Excellent Skills in Performance Tuning and Debugging Strategies
Impeccable working experience on Snowflake cloud data warehouse features like Snowpipe,Streams
&Tasks,Timetravel, Zero copy cloning,Secure Data Sharing,Multi-clusterwarehouse,Admin Activity
and Credit Usage
Building Data Pipeline in snowflake using Snowpipe,Streams and Tasks as well as applying Data
Masking policies in Snowflake.
Responsible for Data Quality and Data ingestion from Teradata to Snowflake
Building Data Platform in Snowflake using Matillion as an ETL tool
Responsible to tune ETL mappings, Workflows and underlying data model to optimize load and query
Performance.