Nikita Sharma

Analyst | Data & AI Engineer

Delhi, India 1+ yrs exp 87 · Excellent

About

Data Analyst and Data Engineer with 1+ year of production experience building Python-based ETL pipelines, developing data ingestion and transformation workflows, and ensuring data quality through profiling, validation, and SQL-based reconciliation. Hands-on experience with SQL, Python, data modeling, schema design, Power BI, Looker Studio, Excel, and BI reporting. Experienced in translating business and technical requirements into scalable data solutions and collaborating with Product, Engineering, and Partner teams. Proven track record of automating data workflows, reducing manual processing effort by ~60% and improving pipeline throughput by ~40%.

Skills & Expertise (27)

Python Intermediate

8.0/10

Years Exp

Pandas Intermediate

7.5/10

Years Exp

SQL Intermediate

7.5/10

Years Exp

ETL Pipelines Intermediate

7.5/10

Years Exp

Data Transformation Intermediate

7.5/10

Years Exp

Data Cleansing Intermediate

7.0/10

Years Exp

Data Reconciliation Intermediate

7.0/10

Years Exp

Schema Design Intermediate

7.0/10

Years Exp

Data Modeling Intermediate

7.0/10

Years Exp

Data Quality Intermediate

7.0/10

Years Exp

Data Profiling Intermediate

7.0/10

Years Exp

Data Validation Intermediate

7.0/10

Years Exp

Data Ingestion Intermediate

7.0/10

Years Exp

LLM Integration Intermediate

7.0/10

Years Exp

Prompt Engineering Intermediate

7.0/10

Years Exp

NumPy Intermediate

7.0/10

Years Exp

MySql Intermediate

6.5/10

Years Exp

Postgresql Intermediate

6.5/10

Years Exp

scikit-learn Intermediate

6.5/10

Years Exp

Power BI Intermediate

6.5/10

Years Exp

Excel Intermediate

6.5/10

Years Exp

Looker Studio Intermediate

6.0/10

Years Exp

Matplotlib Intermediate

6.0/10

Years Exp

Seaborn Intermediate

6.0/10

Years Exp

KPI Reporting Intermediate

6.0/10

Years Exp

Dashboard Development Intermediate

6.0/10

Years Exp

rag systems

Work Experience

Analyst

GlobalLogic (Hitachi) · Google Vendor

Jul 2025 - Present

Developed and maintained Python ETL pipelines to ingest semi-structured and unstructured data from third-party and web sources into Google's Knowledge Graph. Built end-to-end data solutions covering schema design, data modeling, attribute mapping, transformation, ingestion and validation across multiple Search verticals. Performed data profiling, quality checks and SQL-based reconciliation to identify missing values, duplicates and structural inconsistencies. Automated data transformation and validation workflows, reducing manual processing by ~60% and improving pipeline throughput by ~40%. Collaborated with Product, Engineering and Partner teams to translate business and technical requirements into reliable, ingestion-ready datasets. Built an LLM-powered schema mapping solution, reducing mapping turnaround time by ~70% and achieving ~85% matching accuracy during validation.