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I'm Meghana Reddy, a data engineer based in Toronto, Canada, with 2+ years of experience designing and maintaining cloud-based ELT pipelines for both legacy and modern data platforms. I have hands-on expertise with Snowflake, Python, SQL, Airflow, AWS, dbt, and Fivetran, and I strive to deliver reliable, scalable, and well-documented data workflows. I collaborate closely with BI and data architecture teams to translate business requirements into analytics-ready datasets, drive high-quality analytics, and ensure data quality through tests, freshness checks, and audit logging. I'm passionate about enabling faster, smarter decision-making through robust data pipelines and clear technical documentation.…I'm Meghana Reddy, a data engineer based in Toronto, Canada, with 2+ years of experience designing and maintaining cloud-based ELT pipelines for both legacy and modern data platforms. I have hands-on expertise with Snowflake, Python, SQL, Airflow, AWS, dbt, and Fivetran, and I strive to deliver reliable, scalable, and well-documented data workflows. I collaborate closely with BI and data architecture teams to translate business requirements into analytics-ready datasets, drive high-quality analytics, and ensure data quality through tests, freshness checks, and audit logging. I'm passionate about enabling faster, smarter decision-making through robust data pipelines and clear technical documentation.

Meghana Reddy

Data Scientist, Full Stack Developer, Back-End Developer, +4

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I'm Meghana Reddy, a data engineer based in Toronto, Canada, with 2+ years of experience designing and maintaining cloud-based ELT pipelines for both legacy and modern data platforms. I have hands-on expertise with Snowflake, Python, SQL, Airflow, AWS, dbt, and Fivetran, and I strive to deliver reliable, scalable, and well-documented data workflows. I collaborate closely with BI and data architecture teams to translate business requirements into analytics-ready datasets, drive high-quality analytics, and ensure data quality through tests, freshness checks, and audit logging. I'm passionate about enabling faster, smarter decision-making through robust data pipelines and clear technical documentation.…I'm Meghana Reddy, a data engineer based in Toronto, Canada, with 2+ years of experience designing and maintaining cloud-based ELT pipelines for both legacy and modern data platforms. I have hands-on expertise with Snowflake, Python, SQL, Airflow, AWS, dbt, and Fivetran, and I strive to deliver reliable, scalable, and well-documented data workflows. I collaborate closely with BI and data architecture teams to translate business requirements into analytics-ready datasets, drive high-quality analytics, and ensure data quality through tests, freshness checks, and audit logging. I'm passionate about enabling faster, smarter decision-making through robust data pipelines and clear technical documentation.

Available to hire

I’m Meghana Reddy, a data engineer based in Toronto, Canada, with 2+ years of experience designing and maintaining cloud-based ELT pipelines for both legacy and modern data platforms. I have hands-on expertise with Snowflake, Python, SQL, Airflow, AWS, dbt, and Fivetran, and I strive to deliver reliable, scalable, and well-documented data workflows.

I collaborate closely with BI and data architecture teams to translate business requirements into analytics-ready datasets, drive high-quality analytics, and ensure data quality through tests, freshness checks, and audit logging. I’m passionate about enabling faster, smarter decision-making through robust data pipelines and clear technical documentation.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Javanese

Beginner

English

Fluent

Work Experience

Data Engineer at Deloitte – India

June 1, 2022 - December 31, 2022

Designed and maintained ELT pipelines on Snowflake using Snowpipe, external stages, Streams, and Tasks to support near-real-time data ingestion. Built and optimized PySpark-based ingestion and transformation jobs, ensuring scalable processing across high-volume datasets. Developed dbt models (staging, intermediate, marts) with automated tests, freshness checks, and data quality validations, significantly improving data reliability. Implemented Airflow orchestrated workflows to manage end-to-end pipeline execution, dependencies, and retries. Supported legacy-to-cloud migration efforts, enabling seamless integration of existing data sources into Snowflake. Monitored and enhanced pipeline performance, improving throughput and reducing warehouse costs through efficient partitioning and scaling strategies. Collaborated with BI and data architecture teams to translate business requirements into analytics-ready datasets. Maintained clear technical documentation covering pipeline logic, data f

Data Engineer at Deloitte, India

June 1, 2022 - December 1, 2022

Engineered Snowflake ingestion pipelines using Snowpipe, external stages, auto-ingest, streams, and tasks for near real-time ingestion. Built Kafka-to-Snowflake ingestion frameworks with schema drift handling and partition routing, delivering 99%+ ingestion reliability across millions of daily events. Developed DBT models (staging, ODS, marts) with automated schema tests, freshness checks, and anomaly detection. Improved ingestion throughput by optimizing file batching, micro-partitioning, warehouse scaling, pruning, reducing cost by 25%. Implemented Snowflake Streams + Tasks for CDC with guaranteed ordering and continuous ingestion. Designed semantic data models for Customer, Product, Transaction, and Accounts enabling consistent analytics across 10+ teams.

Data Engineer at Wipro, India

January 1, 2021 - February 1, 2022

Developed ETL pipelines using Azure Data Factory and Databricks for enterprise data warehouse modernization projects. Migrated multiple on-prem SQL Server & Oracle workloads to Azure ADLS, Azure SQL and Databricks, reducing legacy compute usage by 40%. Designed and built ingestion frameworks for batch and micro-batch pipelines using PySpark and ADF. Built data validation and reconciliation scripts in Python/SQL to ensure high-quality ingestion across 50+ datasets. Implemented data modeling (star schema, SCD Type 2) to support analytics and reporting. Optimized Spark jobs through partition tuning, caching, and broadcast joins improving job performance by 25%.

SQL Developer / BI Developer at Phoenix Technologies – India

August 1, 2019 - December 31, 2020

Designed and optimized relational database schemas to support reporting and analytics workloads. Developed complex SQL queries, stored procedures, and views for data extraction, transformation, and performance optimization. Built and supported ETL pipelines integrating data from multiple source systems into centralized reporting databases.Performed data validation, reconciliation, and quality checks to ensure accuracy and consistency across datasets. Tuned slow-running queries and indexes, improving report and dashboard performance. Worked with business stakeholders to define KPIs and deliver timely insights supporting decision-making.

SQL Developer & BI Developer at Phoenix Technologies, India

August 1, 2019 - December 1, 2020

Designed and maintained relational database structures; developed advanced SQL queries, stored procedures, functions, views, and triggers for data manipulation and optimization. Analyzed slow-running queries, tuned indexes, and improved performance. Built ETL pipelines to extract, transform, and load data for analytics. Implemented security, data governance, and incident troubleshooting. Collaborated with teams to cleanse and validate large datasets and support KPI reporting.