Alkesha B.

Data Engineer

Mumbai, India4 yrs 11 mos experience

Highly StableAI Enabled

Key Highlights

Expert in building scalable data pipelines and automating workflows.
Proficient in transforming raw data into actionable insights.
Strong collaboration skills with cross-functional teams.

Stackforce AI infers this person is a Big Data Engineer with expertise in Fintech and cloud data solutions.

Contact

alkesha.baikar05@gmail.com LinkedIn

Skills

Core Skills

Big DataEtl

Other Skills

CommunicationAirflowData GenerationAutomationData QualityETL ToolsAnalytical SkillsicebergFivetran ETL ToolAmazon KinesisData Build Tool (DBT)ApacheData PipelinesScriptingCode Review

About

💡 Big Data Engineer | Turning complex data into simple, actionable insightsI’m a Big Data Engineer with nearly 5 years of hands-on experience building scalable data pipelines, automating workflows, and using machine learning to uncover hidden patterns in data. What drives me most is solving real problems — reducing processing time, improving data reliability, and helping teams make smarter decisions with clean, well-structured data.Over the years, I’ve designed and optimized end-to-end ETL pipelines using tools like PySpark, Airflow, Hive, and Hadoop, and worked across Azure and GCP environments. I enjoy bringing order to chaos — transforming raw, scattered data into something meaningful and usable.I take pride in writing clear documentation, collaborating with cross-functional teams, and continuously learning new ways to improve efficiency and scalability. Whether it’s tuning Spark jobs, building data models, or visualizing insights with Tableau or Plotly, I always aim to make data more accessible and impactful.Outside of work, I’m usually exploring new data tools, experimenting with side projects in computer vision, or reading about the latest in AI and cloud tech.Core Skills:Programming & Scripting: Python, SQL, Scala, Shell Scripting, Unix/LinuxBig Data & Cloud Platforms: Spark, PySpark, Databricks, Delta Lake, Hadoop, Hive, Kafka, Azure, AWS, GCP, BigQueryData Engineering & Workflow: ETL/ELT, Spark Streaming, Data Modeling, Data Warehousing, Airflow, dbt, AutosysDatabases & Tools: SQL Server, MongoDB, Chroma DB, Pandas, NumPy, Git, Bitbucket, Jenkins, LangChain, JIRAVisualization & DevOps: Tableau, Looker, CI/CD, Lakeflow, PuTTY, Docker#PySpark #Python #DataEngineering #BigData #ETL #DataPipelines #MachineLearning #DataAnalytics #CloudData#Databricks#DeltaLiveTables#Airflow #SparkDeclarativePipelinez

Experience

4 yrs 11 mos

Total Experience

Average Tenure

4 yrs 11 mos

Current Experience

Bank of america

2 roles

Software Engineer I A (Big Data)

Promoted

Jul 2023 – Present · 2 yrs 11 mos · Mumbai, Maharashtra, India · Hybrid

Worked on a proof of concept (POC) to design and implement a solution for generating dummy test data required for various downstream testing scenarios.
Managed and fulfilled ad-hoc test data generation requests from QA and testing teams, ensuring accurate and timely delivery of data for LLE and other environments.
Built a data generation tool/framework to automate the creation of synthetic data, reducing manual effort and improving testing efficiency across multiple applications.
Automated ETL pipelines using Airflow, optimizing workflows, improving reliability, and ensuring consistent data availability for testing and validation processes.
Collaborated with cross-functional teams to understand data requirements, improve the test-data lifecycle, and support continuous testing efforts.
Ensured data quality, test coverage, and repeatability by implementing best practices in data engineering, automation, and workflow orchestration.

Big DataCommunicationAirflowETL

Software Engineer I B (Big Data)

Jul 2021 – Jul 2023 · 2 yrs · Mumbai, Maharashtra, India · Hybrid

Working on the proof of concept (POC) to generate the new dummy data for different types of testing in downstream applications.
Built custom modules to streamline the data generation process, saving time and effort.

Big DataCommunication