Srinath Gadipelli

ML Data Analyst

Hyderabad, India $10/hr 2+ yrs exp 95 · Outstanding

About

ML Data Analyst with 2.5+ years at Amazon writing SQL and Python to extract, validate and transform large datasets, enforcing data quality and troubleshooting pipeline issues with engineering teams. Built ETL/ELT pipelines with Azure Data Factory, Azure Databricks, PySpark and Delta Lake, plus batch pipelines on AWS (S3, IAM, EC2, Glue, Lambda), with hands-on Snowflake experience, Terraform and CI/CD with GitHub Actions. Builds Power BI dashboards that consolidate 4+ data sources, and has applied ML and RAG in an AI platform. Collaborates with cross-functional teams and learns new tools quickly.

Skills & Expertise (46)

NumPy Advanced

8.0/10

2.5

Years Exp

Pandas Advanced

8.0/10

2.5

Years Exp

SQL Advanced

8.0/10

2.5

Years Exp

Python Advanced

8.0/10

2.5

Years Exp

Azure Data Factory Intermediate

7.5/10

2.5

Years Exp

KPI Reporting Intermediate

7.5/10

2.5

Years Exp

Dashboard Development Intermediate

7.5/10

2.5

Years Exp

Power BI Intermediate

7.5/10

2.5

Years Exp

AWS S3 Intermediate

7.5/10

2.5

Years Exp

AWS Intermediate

7.5/10

2.5

Years Exp

Azure Intermediate

7.5/10

2.5

Years Exp

Data Pipelines Intermediate

7.5/10

2.5

Years Exp

ELT Intermediate

7.5/10

2.5

Years Exp

ETL Intermediate

7.5/10

2.5

Years Exp

Azure Databricks Intermediate

7.5/10

2.5

Years Exp

Databricks Intermediate

7.5/10

2.5

Years Exp

Data Transformation Intermediate

7.5/10

2.5

Years Exp

Snowflake Intermediate

7.0/10

2.5

Years Exp

Technical Documentation Intermediate

7.0/10

2.5

Years Exp

Root Cause Analysis Intermediate

7.0/10

2.5

Years Exp

Troubleshooting Intermediate

7.0/10

2.5

Years Exp

Agile Intermediate

7.0/10

2.5

Years Exp

GitHub Intermediate

7.0/10

2.5

Years Exp

Git Intermediate

7.0/10

2.5

Years Exp

Excel Intermediate

7.0/10

2.5

Years Exp

Query Optimisation Intermediate

7.0/10

2.5

Years Exp

Data Structures Intermediate

7.0/10

2.5

Years Exp

Data Quality Intermediate

7.0/10

2.5

Years Exp

Data Modelling Intermediate

7.0/10

2.5

Years Exp

AWS IAM Intermediate

7.0/10

2.5

Years Exp

AWS EC2 Intermediate

7.0/10

2.5

Years Exp

AWS Lambda Intermediate

7.0/10

2.5

Years Exp

AWS Glue Intermediate

7.0/10

2.5

Years Exp

PySpark Intermediate

7.0/10

2.5

Years Exp

Window Functions Intermediate

7.0/10

2.5

Years Exp

ML Pipelines Intermediate

6.5/10

2.5

Years Exp

Anomaly Detection Intermediate

6.5/10

2.5

Years Exp

Delta Lake Intermediate

6.5/10

2.5

Years Exp

GCP Intermediate

6.0/10

2.5

Years Exp

GitHub Actions Intermediate

6.0/10

2.5

Years Exp

Terraform Intermediate

6.0/10

2.5

Years Exp

Infrastructure as Code Intermediate

6.0/10

2.5

Years Exp

LLMs Intermediate

6.0/10

2.5

Years Exp

RAG Intermediate

6.0/10

2.5

Years Exp

LlamaIndex Intermediate

6.0/10

2.5

Years Exp

Oracle Database Intermediate

6.0/10

2.5

Years Exp

Work Experience

ML Data Analyst

Amazon

Apr 2024 - Present

Write SQL queries (joins, subqueries, CTEs, GROUP BY, window functions) and Python (pandas, NumPy) scripts to extract, validate and transform large datasets into structured formats for reporting and analysis. Troubleshoot data-quality and pipeline issues through root cause analysis of error patterns from 15+ associates' output, coordinating fixes with engineering and QA teams. Validate datasets and flag anomalous, incomplete or inconsistent records, acting as a data-quality check before data is used downstream. Developed Power BI dashboards consolidating 4+ data sources into unified views used by 3 team leads for weekly reviews, cutting reporting time by ~35%. Automated KPI tracking and reporting in Python (pandas) and Excel, monitoring quality and SLA metrics and cutting manual reporting effort by ~40%. Document findings and communicate status clearly to engineering, QA and team leads; recognized with two Best Performer awards for Customer Obsession and Delivering Results.