Dynamic Technical Consultant with a proven track record at Ascendion Engineering, excelling in Snowflake data solutions and complex SQL queries. Adept at optimizing data pipelines and enhancing performance, I bring strong analytical skills and a passion for innovation to drive impactful results in cloud data warehousing.
Overview
3
3
years of professional experience
Work History
Technical Consultant
Ascendion Engineering Pvt Ltd
Bangalore
11.2023 - Current
Designed and developed Snowflake objects including databases, schemas, tables, stages, sequences, views, file formats, and stored procedures using SnowSQL and the Snowflake Web UI.
Loaded data from external stages (Amazon S3) into target Snowflake tables using the COPY command, and queried data warehouse layers for analytics and reporting.
Demonstrated expertise in writing complex SQL queries, including advanced subqueries, multi-table JOINs, and optimized views for performance and maintainability.
Performed schema and object cloning from QA to Production environments using Snowflake’s Zero-Copy Cloning to support seamless deployments.
Utilized core Snowflake features such as Time Travel, Data Cloning, Secure Views, Data Sharing, and Clustering Keys to build efficient, secure, and scalable data solutions.
Developed SnowSQL scripts to automate the data loading process from flat files into Snowflake tables.
Implemented Slowly Changing Dimensions (SCD) using Snowflake Streams, Snowpipe, and other Snowflake-native utilities for near real-time data processing.
Optimized storage usage by leveraging transient tables and defining effective clustering columns to improve query performance and reduce costs.
Ensured zero-defect deployments and timely delivery of all components through rigorous testing, peer reviews, and adherence to best practices.
Documented all deliverables, workflows, and deployment procedures to support smooth transition and maintenance by the Production Support team.
Software Engineer
SanVan Technologies Pvt Ltd
Bangalore
11.2022 - 11.2023
Designed and implemented Snowflake data pipelines for automated data ingestion from AWS S3 into Snowflake tables using external stages and COPY commands.
Developed and maintained multiple layers in the Enterprise Data Warehouse (EDW), including Landing, Staging, and Downstream layers.
Extracted data from upstream sources such as file systems and Oracle databases, and loaded it into Snowflake for processing.
Performed data transformation, cleaning (removal of nulls and duplicates), and quality checks before loading into the Staging layer.
Managed Snowflake infrastructure components such as virtual warehouses, roles, schemas, databases, and resource monitors.
Implemented Delta Loads for continuous data transfer from the Staging layer to the Operational Data Store (ODS) layer.
Created and managed file formats, external stages, and Snowpipe configurations for real-time data ingestion.
Developed complex SQL and PL/SQL scripts, including stored procedures, to handle Insert, Update, and Delete (Merge) operations.
Utilized SFTP-based file systems for secure data exchange using IBM DataStage.
Executed data cleaning and manipulation tasks by writing optimized and complex SQL queries.
Worked with advanced Snowflake features such as Zero-Copy Cloning, Time Travel, and Fail-Safe for robust data management.
Actively collaborated with clients to gather, baseline, and analyze requirements, including assessing impacts on downstream applications.
Designed and implemented ETL logic involving data transformation and integration using complex joins across multiple source tables.
Supported the QA team by preparing accurate and representative test data sets.
Developed detailed test plans, test cases, and test scripts based on business requirements, functional specifications, and user stories.
Conducted various levels of testing including regression, user acceptance testing (UAT), and performance testing to ensure system quality and reliability in telecom environments.
Software Engineer
Harman Connected Services
Bangalore
01.2022 - 09.2022
Led end-to-end data migration from traditional RDBMS to Snowflake Cloud Data Warehouse, ensuring seamless transition and performance optimization.
Performed bulk data loading from AWS S3 external stages to Snowflake internal stages using the COPY command for efficient ingestion of large datasets.
Developed views and materialized views to support business analytics and reporting, enhancing data accessibility and insights.
Designed and implemented ETL workflows for large-scale Snowflake data warehouse environments, ensuring high performance, accuracy, and scalability.
Administered and supported the full lifecycle of ETL processes, from development and deployment to production support, across various Snowflake projects.
Built automated task flows to orchestrate data loading and unloading between Snowflake and AWS S3, improving process reliability and reducing manual intervention.
Created and managed internal and external stages, applying transformations during data load to ensure clean and structured data ingestion.
Developed and maintained Snowflake objects such as file formats, user-defined functions (UDFs), and secure views for robust data management.
Utilized Zero-Copy Cloning to create Dev and QA environments from production data, enabling rapid testing and minimizing storage usage.
Implemented Snowflake Streams and Change Data Capture (CDC) mechanisms to efficiently process incremental data and maintain real-time data freshness.· Worked on Snowflake streams to process incremental records and for CDC.
Education
Bachelor of Civil Engineering - Civil Engineering
Vemu Institute Of Technology
P.Kothakota, Chittoor
05-2020
Skills
SQL
Python
Microsoft SQL Server
Snowflake
Oracle
AWS IAM
S3
Athena
RDS
EC2
Matillion
AZURE DATA FACTORY
Dbt
Airflow
Control M
Languages
Telugu
First Language
English
Advanced (C1)
C1
Hindi
Advanced (C1)
C1
Kannada
Upper Intermediate (B2)
B2
Personal Data
Full Name: Pradeesh Amasa
Father’s Name: A. Radhakrishnaiah
Date of Birth: 20/08/1998
Gender: Male
Nationality: Indian
Languages Known: English, Telugu, Hindi, Kannada
Marital Status: Single
Decleration
I hereby declare that the above-mentioned information is true and correct to the best of my knowledge and belief. I take full responsibility for the accuracy of the particulars provided in this resume.