Sayantan Sarkar

Lead ML Engineer

Chennai, Tamil Nadu, India12 yrs experience

Highly Stable

Key Highlights

Expert in Big Data and ETL pipeline development.
Strong background in SQL and Python for data analysis.
Passionate about Machine Learning and data visualization.

Stackforce AI infers this person is a Data Engineering expert with a focus on Big Data solutions.

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Skills

Core Skills

Data EngineeringBig DataData AnalyticsComputer ScienceProblem Solving

Other Skills

Apache SparkApache SqoopETLHBaseHiveDatabasesSQLPythonShell ScriptingJupyterTensorFlowGoogle BigQueryData ScienceDeep LearningComputer Vision

About

Data engineer with experience in BigData and traditional ETL pipeline building. Has a knack to engage different technologies toward problem solving. Well versed in SQL/Python based data analysis. Likes exploring Machine Learning and data visualization techniques. Loves to code and believes functional understanding is the key to solution.

Experience

12 yrs

Total Experience

5 yrs 3 mos

Average Tenure

1 yr 6 mos

Current Experience

Paypal

Software Engineer 3

Nov 2024 – Present · 1 yr 6 mos · Chennai, Tamil Nadu, India · Hybrid

Accenture

2 roles

Data Engineering Team Lead

Promoted

Dec 2020 – Nov 2024 · 3 yrs 11 mos

Lead Data Engineer with 10+ years experience, M.Tech in Data Science from IIT Hyderabad

Big DataData AnalyticsData Engineering

Application Development Senior Analyst

Dec 2018 – Nov 2020 · 1 yr 11 mos

Data AnalyticsComputer Science

Tata consultancy services

2 roles

I.T. Analyst

Promoted

Jan 2018 – Dec 2018 · 11 mos

1.Develop data pipelines and ETL flows primarily using Apache Spark and Apache Sqoop.
2.Build HBase datalake and Hive warehouse to meet business data requirements.
3.Hbase SQL query build and performance optimization using Apache Phoenix.
4.Design Hive schema and optimizing HQL performance for faster data retrieval.
5.Perform adhoc data analysis and visualization tasks on large data sets using python, sql
6.Create Flask based API and UI for integrating ETL audit and monitoring

Big DataData AnalyticsData Engineering

System Engineer

Mar 2014 – Dec 2017 · 3 yrs 9 mos

1.Developed data pipelines using Apache Spark, Informatica.
2.Developed framework with SQL, shellscript and Python for data quality and data integrity checks.
3.Performed business requirement to technical implementation planning.
4.Did data analysis and logic correction for existing and new business reports.

Problem SolvingDatabasesData Engineering