Smriti Sharma profile photo 1 on Tal

Smriti Sharma

Data Engineer | Python | SQL | PySpark | Azure Data Factory | Databricks | ADLS Gen2 | ETL/ELT | Data Pipelines

India

2+ years of work experience

Excellence Integrity Management
May 20251 yr 5 mosPresent

Bengaluru, Karnataka, India

Architected and deployed an end-to-end cloud data platform for an international OTT streaming client ("Wonder"), centralizing fragmented user, content, and payment data. Key Contributions: - Built automated data ingestion pipelines using AWS Glue (Python), extracting streaming logs, viewing telemetry, and customer activities from REST APIs into Amazon S3 on a 4-hour schedule. - Automated continuous file ingestion from S3 landing buckets into Snowflake RAW staging tables leveraging Snowpipe notifications. - Implemented a 3-layer Medallion Architecture (Raw → Silver → Gold) via Snowflake Tasks and SQL to clean corrupted data types, resolve missing entity IDs, and standardize regional schemas. - Modeled an enterprise Star Schema (Fact and Dimension tables) in Snowflake, structurally resolving cross-system reconciliation mismatches between Evergent billing feeds and video activity streams. - Spearheaded a storage and performance POC evaluating Parquet columnar formats and Snappy compression against raw CSV in S3, benchmarking warehouse scanning costs and analytical query performance. - Engineered automated source-to-target data validation mechanisms (schema verification, null handling, and duplicate deduplication) to guarantee data integrity across business dashboards. Skills: Snowflake, AWS Glue, Amazon S3, Snowpipe, Snowflake Tasks, Medallion Architecture, Dimensional Modeling, Python, SQL
triggerAll
Oct 20231 yr 5 mosFeb 2025

India

Architected and scaled an omnichannel backend engine unifying inventory, manufacturing tracking, and order fulfilment across Amazon (SP-API), Shopify, Etsy, and direct web channels. Key Contributions: - Engineered an event-driven webhook processing layer with FastAPI and PostgreSQL, processing real-time order streams with sub-50ms gateway latency. - Eliminated multi-channel race conditions and overselling by implementing pessimistic row-level locks (SELECT FOR UPDATE) in PostgreSQL for concurrent checkouts. - Designed asynchronous outbound sync workers using Celery and Redis to navigate external API rate limits (Amazon, Shopify) with exponential backoff and jitter, reducing stock propagation latency under 2 seconds. - Formulated a Bill of Materials (BOM) relational schema to automate raw material deduction (MDF sheets, acrylic, paints) and forecast production restock cycles. - Integrated pre-signed AWS S3 upload pipelines for custom engraving/photo assets, decoupling heavy payloads from transactional checkout flows. Skills Used: Python, FastAPI, PostgreSQL, Redis, Celery, AWS S3, Docker, REST APIs, System Design

Smriti’s AI Stack

antigravity
antigravity
claude code
claude code
cursor
cursor
deepseek
deepseek
gemini
gemini
github copilot
github copilot

Education

Biju Patnaik University of Technology, Odisha

Bachelor of Technology - BTech, Computer Science

Biju Patnaik University of Technology, Odisha

20184 yrs2022

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Smriti Sharma on Tal

Headline

Data Engineer | Python | SQL | PySpark | Azure Data Factory | Databricks | ADLS Gen2 | ETL/ELT | Data Pipelines

About

Data Engineer with 2+ years of experience building ETL/ELT pipelines and working with data from APIs, CSV/Excel files, and business applications. I work mainly with Python, SQL, PySpark, Apache Spark, Azure Data Factory, Azure Databricks, ADLS Gen2, Delta Lake, and Snowflake. In my current role, I work on end-to-end data engineering solutions including data ingestion, transformation, data validation, reconciliation, incremental processing, and pipeline monitoring. I have also worked with Medallion Architecture (Bronze/Silver/Gold) and configuration-driven data processing for different client data structures. Before moving into Data Engineering, I worked as a Backend Engineer where I developed Python/FastAPI services, REST API integrations, and data-processing workflows using PostgreSQL and MongoDB. I enjoy solving data integration and data-quality problems and building reliable pipelines that can support analytics and downstream applications. Core skills: Python | SQL | PySpark | Apache Spark | Azure Data Factory | Azure Databricks | ADLS Gen2 | Delta Lake | Snowflake | ETL/ELT | Data Pipelines | Data Quality | REST APIs

Location

India

AI stack

antigravity

claude code

cursor

deepseek

gemini

github copilot

Work experience

Data Engineer at Excellence Integrity Management, May 2025 - Present · 1 yr 5 mos, Bengaluru, Karnataka, India, Architected and deployed an end-to-end cloud data platform for an international OTT streaming client ("Wonder"), centralizing fragmented user, content, and payment data. Key Contributions: - Built automated data ingestion pipelines using AWS Glue (Python), extracting streaming logs, viewing telemetry, and customer activities from REST APIs into Amazon S3 on a 4-hour schedule. - Automated continuous file ingestion from S3 landing buckets into Snowflake RAW staging tables leveraging Snowpipe notifications. - Implemented a 3-layer Medallion Architecture (Raw → Silver → Gold) via Snowflake Tasks and SQL to clean corrupted data types, resolve missing entity IDs, and standardize regional schemas. - Modeled an enterprise Star Schema (Fact and Dimension tables) in Snowflake, structurally resolving cross-system reconciliation mismatches between Evergent billing feeds and video activity streams. - Spearheaded a storage and performance POC evaluating Parquet columnar formats and Snappy compression against raw CSV in S3, benchmarking warehouse scanning costs and analytical query performance. - Engineered automated source-to-target data validation mechanisms (schema verification, null handling, and duplicate deduplication) to guarantee data integrity across business dashboards. Skills: Snowflake, AWS Glue, Amazon S3, Snowpipe, Snowflake Tasks, Medallion Architecture, Dimensional Modeling, Python, SQL

Back End Developer at triggerAll, Oct 2023 - Feb 2025 · 1 yr 5 mos, India, Architected and scaled an omnichannel backend engine unifying inventory, manufacturing tracking, and order fulfilment across Amazon (SP-API), Shopify, Etsy, and direct web channels. Key Contributions: - Engineered an event-driven webhook processing layer with FastAPI and PostgreSQL, processing real-time order streams with sub-50ms gateway latency. - Eliminated multi-channel race conditions and overselling by implementing pessimistic row-level locks (SELECT FOR UPDATE) in PostgreSQL for concurrent checkouts. - Designed asynchronous outbound sync workers using Celery and Redis to navigate external API rate limits (Amazon, Shopify) with exponential backoff and jitter, reducing stock propagation latency under 2 seconds. - Formulated a Bill of Materials (BOM) relational schema to automate raw material deduction (MDF sheets, acrylic, paints) and forecast production restock cycles. - Integrated pre-signed AWS S3 upload pipelines for custom engraving/photo assets, decoupling heavy payloads from transactional checkout flows. Skills Used: Python, FastAPI, PostgreSQL, Redis, Celery, AWS S3, Docker, REST APIs, System Design

Education

Bachelor of Technology - BTech, Computer Science, Biju Patnaik University of Technology, Odisha

Smriti Sharma - Data Engineer in India | Tal