Shruti Chikode
Unterschleissheim
Summary
Self-motivated, results-driven Data Engineer with 8 years of experience in Software Development Life Cycle (SDLC) of IT Industry which includes experience in data analysis, cloud technologies, data integration, business intelligence, data warehousing, data engineering, azure data services. Worked in various domains including Banking - Corporate and Retails, Money Laundering prevention, Council tax. Strong key areas are data extraction and management, development, and setting the data in the pipeline.
Overview
9
9
years of professional experience
4
4
years of post-secondary education
Work History
DATA ENGINEER
KANTAR GMBH (June 2024)
10.2022 - 06.2024
- Azure Pipelines: Designed and managed scalable data pipelines.
- PostgreSQL: Built ETL processes on Docker.
- Azure Data Factory: Created Python pipelines for SQL databases.
- Debugging: Used launch.json for code debugging.
- Testing: Conducted unit and integration testing with pytest.
- Data Security: Implemented encryption with Python's secrets module.
- Snowflake : Developed and maintained ETL processes.
- Collaboration: Automated data tasks with custom scripts.
4 2022 - 10.2022
- Got married, shifted to Germany and started looking for a new job.
AZURE DATA ENGINEER
PERSISTENT SYSTEMS
02.2021 - 04.2022
- Migration: Used Azure Cloud, PySpark, Spark SQL, Databricks.
- Apache airflow: Scheduling and triggering of workflows
- Data Infrastructure: Design infrastructures using hadoop, spark
- Azure Synapse Analytics: Designing data warehouses, improved data quality and security by 30%.
- Agile Methodology: Experienced in SCRUM.
- CI/CD: continuous integration / continuous delivery
JUNIOR DATA ENGINEER
RAVE TECHNOLOGIES
10.2019 - 02.2021
- Data Preprocessing: Data cleaning with Python, PySpark, SQL, and NoSQL.
- Data Storage: Designed structures for JSON, Delta-Parquet, and ORC formats.
- Predictive Modeling: Used NumPy, pandas, Scikit-Learn, SciPy, and PyTorch for modeling and optimization.
- Analysis: Analyzed large datasets for outliers, feature selection, and prediction.
- Data Visualization: Visualized data with Plotly, Matplotlib, and Seaborn.
- ML Infrastructure: Built scalable ML systems for on-premise and cloud environments.
- Time Series Analysis: Analyzed COVID and IPL datasets using TensorFlow.
04.2019 - 10.2019
- Took a break due to family health emergency.
SOFTWARE DEVELOPER
3I-INFOTECH
09.2015 - 03.2019
- Client Interaction: Oversaw banking project lifecycle from requirements to implementation.
- Query Optimization: Enhanced performance of views and complex SQL queries.
- RDBMS Objects: Developed PL/SQL procedures, packages, and triggers.
- Reporting & Dashboards: Created banking reports and dashboards using Power BI
- On-Site Support (Bahrain): Resolved user issues and managed support tickets.
Education
Bachelors of Engineering - Electronics And Telecommunication
Mumbai University
India 08.2010 - 06.2014
Skills
Python
SQL
PySpark
Apache Spark
Apache Airflow
Azure Data Factory
Azure Synapse Analytics
PostgreSQL
MongoDB
Machine Learning
Visa Type
EU Blue Card
Languages
English
Bilingual or Proficient (C2)
German
Elementary (A2)
Timeline
DATA ENGINEER
KANTAR GMBH (June 2024)
10.2022 - 06.2024
AZURE DATA ENGINEER
PERSISTENT SYSTEMS
02.2021 - 04.2022
JUNIOR DATA ENGINEER
RAVE TECHNOLOGIES
10.2019 - 02.2021
04.2019 - 10.2019
SOFTWARE DEVELOPER
3I-INFOTECH
09.2015 - 03.2019
Bachelors of Engineering - Electronics And Telecommunication
Mumbai University
08.2010 - 06.2014
4 2022 - 10.2022
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